# Paradime Help Docs

## Paradime Help Docs

- [Guides](/app-help/guides.md)
- [Paradime 101](/app-help/guides/paradime-101.md)
- [Getting Started with your Paradime Workspace](/app-help/guides/paradime-101/getting-started-with-your-paradime-workspace.md)
- [Creating a Workspace](/app-help/guides/paradime-101/getting-started-with-your-paradime-workspace/creating-a-workspace.md)
- [Setting Up Data Warehouse Connections](/app-help/guides/paradime-101/getting-started-with-your-paradime-workspace/setting-up-data-warehouse-connections.md)
- [Managing workspace configurations](/app-help/guides/paradime-101/getting-started-with-your-paradime-workspace/managing-workspace-configurations.md)
- [Managing Users in the Workspace](/app-help/guides/paradime-101/getting-started-with-your-paradime-workspace/managing-users-in-the-workspace.md)
- [Getting Started with the Paradime IDE](/app-help/guides/paradime-101/getting-started-with-the-paradime-ide.md)
- [Setting Up a dbt™ Project](/app-help/guides/paradime-101/getting-started-with-the-paradime-ide/setting-up-a-dbt-project.md)
- [Creating a dbt™ Model](/app-help/guides/paradime-101/getting-started-with-the-paradime-ide/creating-a-dbt-model.md)
- [Data Exploration in the Code IDE](/app-help/guides/paradime-101/getting-started-with-the-paradime-ide/data-exploration-in-the-code-ide.md)
- [DinoAI: Accelerating Your Analytics Engineering Workflow](/app-help/guides/paradime-101/getting-started-with-the-paradime-ide/dinoai-accelerating-your-analytics-engineering-workflow.md): Learn how DinoAI accelerates analytics engineering with two powerful modes. DinoAI's Agent Mode allows direct file editing.
- [DinoAI Agent](/app-help/guides/paradime-101/getting-started-with-the-paradime-ide/dinoai-accelerating-your-analytics-engineering-workflow/dinoai-agent.md): The DinoAI Agent provides a flexible, conversational interface for working with DinoAI. It enables you to automate analytics engineering tasks with warehouse-aware AI.
- [Creating dbt Sources from Data Warehouse](/app-help/guides/paradime-101/getting-started-with-the-paradime-ide/dinoai-accelerating-your-analytics-engineering-workflow/dinoai-agent/creating-dbt-sources-from-data-warehouse.md): This guide demonstrates how DinoAI Agent streamlines the process of creating and updating sources.yml files by automatically extracting metadata from your data warehouse.
- [Generating Base Models](/app-help/guides/paradime-101/getting-started-with-the-paradime-ide/dinoai-accelerating-your-analytics-engineering-workflow/dinoai-agent/generating-base-models.md): This guide shows how DinoAI Agent creates standardized base models from raw source data by applying consistent naming conventions and formatting rules.
- [Building Intermediate/Marts Models](/app-help/guides/paradime-101/getting-started-with-the-paradime-ide/dinoai-accelerating-your-analytics-engineering-workflow/dinoai-agent/building-intermediate-marts-models.md): This guide demonstrates how DinoAI Agent helps create analytical models that join multiple tables with proper relationships and business logic.
- [Documentation Generation](/app-help/guides/paradime-101/getting-started-with-the-paradime-ide/dinoai-accelerating-your-analytics-engineering-workflow/dinoai-agent/documentation-generation.md): This guide shows how DinoAI Agent automates the creation of documentation for multiple models simultaneously, saving hours of manual documentation work.
- [Data Pipeline Configuration](/app-help/guides/paradime-101/getting-started-with-the-paradime-ide/dinoai-accelerating-your-analytics-engineering-workflow/dinoai-agent/data-pipeline-configuration.md): This guide demonstrates how DinoAI Agent helps configure your dbt™ project settings to align with best practices and your folder structure.
- [Using .dinorules to Tailor Your AI Experience](/app-help/guides/paradime-101/getting-started-with-the-paradime-ide/dinoai-accelerating-your-analytics-engineering-workflow/dinoai-agent/using-.dinorules-to-tailor-your-ai-experience.md): This guide explains how to use .dinorules files to customize DinoAI's behavior and ensure it follows your team's coding standards and best practices.
- [Using Your Project as Context to Set Up .dinorules](/app-help/guides/paradime-101/getting-started-with-the-paradime-ide/dinoai-accelerating-your-analytics-engineering-workflow/dinoai-agent/using-.dinorules-to-tailor-your-ai-experience/using-your-project-as-context-to-set-up-.dinorules.md): This guide shows how to leverage your existing dbt™ project files to create comprehensive .dinorules that reflect your team's established patterns and conventions.
- [AI-Generated Pull Request Descriptions](/app-help/guides/paradime-101/getting-started-with-the-paradime-ide/dinoai-accelerating-your-analytics-engineering-workflow/dinoai-agent/ai-generated-pull-request-descriptions.md): This guide shows how DinoAI Agent automatically generates comprehensive pull request descriptions by analyzing code changes, saving time and improving code review quality.
- [Accelerating GitOps](/app-help/guides/paradime-101/getting-started-with-the-paradime-ide/dinoai-accelerating-your-analytics-engineering-workflow/accelerating-git-ops.md)
- [Accelerating Data Governance](/app-help/guides/paradime-101/getting-started-with-the-paradime-ide/dinoai-accelerating-your-analytics-engineering-workflow/accelerating-data-governance.md)
- [Accelerating dbt™ Development](/app-help/guides/paradime-101/getting-started-with-the-paradime-ide/dinoai-accelerating-your-analytics-engineering-workflow/accelerating-dbt-development.md)
- [Utilizing Advanced Developer Features](/app-help/guides/paradime-101/getting-started-with-the-paradime-ide/utilizing-advanced-developer-features.md)
- [Visualize Data Lineage](/app-help/guides/paradime-101/getting-started-with-the-paradime-ide/utilizing-advanced-developer-features/visualize-data-lineage.md)
- [Auto-generated Data Documentation](/app-help/guides/paradime-101/getting-started-with-the-paradime-ide/utilizing-advanced-developer-features/auto-generated-data-documentation.md)
- [Enforce SQL and YAML Best Practices](/app-help/guides/paradime-101/getting-started-with-the-paradime-ide/utilizing-advanced-developer-features/enforce-sql-and-yaml-best-practices.md)
- [Working with CSV Files](/app-help/guides/paradime-101/getting-started-with-the-paradime-ide/utilizing-advanced-developer-features/working-with-csv-files.md)
- [Managing dbt™ Schedules with Bolt](/app-help/guides/paradime-101/running-dbt-in-production-with-bolt.md)
- [Creating Bolt Schedules](/app-help/guides/paradime-101/running-dbt-in-production-with-bolt/creating-bolt-schedules.md)
- [Understanding schedule types and triggers](/app-help/guides/paradime-101/running-dbt-in-production-with-bolt/understanding-schedule-types-and-triggers.md)
- [Viewing Run History and Analytics](/app-help/guides/paradime-101/running-dbt-in-production-with-bolt/viewing-run-history-and-analytics.md)
- [Setting Up Notifications](/app-help/guides/paradime-101/running-dbt-in-production-with-bolt/setting-up-notifications.md)
- [Debugging Failed Runs](/app-help/guides/paradime-101/running-dbt-in-production-with-bolt/debugging-failed-runs.md): Learn how to efficiently debug failed dbt™ runs in Paradime using Bolt.
- [Getting started with the DinoAI background agent](/app-help/guides/paradime-101/getting-started-with-the-dinoai-background-agent.md)
- [Migrating Guide - dbt™ cloud to Paradime](/app-help/guides/dbt-cloud-tm-importer.md): dbt Cloud™ Importer in Paradime: Import dbt Cloud™ projects into Paradime with one click to simplify project management and integration.
- [Translation of Key Terms](/app-help/guides/dbt-cloud-tm-importer/translation-of-key-terms.md): dbt Cloud™️ to Paradime migration guide with the translation of key terms between both the platforms.
- [Transferring dbt™️ Jobs](/app-help/guides/dbt-cloud-tm-importer/transferring-dbt-tm-jobs.md)
- [Migrating dbt™ jobs from Github Actions to Paradime Bolt](/app-help/guides/migrating-dbt-tm-jobs-from-github-actions-to-paradime-bolt.md)
- [PII Anonymization with dbt™ Mesh Setup](/app-help/guides/pii-anonymization-with-dbt-tm-mesh-setup.md)
- [Using dlt (data load tool) Pipelines in Paradime](/app-help/guides/using-dlt-data-load-tool-pipelines-in-paradime.md)
- [dlt Source and Destination Credentials via Environment Variables](/app-help/guides/using-dlt-data-load-tool-pipelines-in-paradime/dlt-source-and-destination-credentials-via-environment-variables.md): Learn how dlt (data load tool) to maps environment variables to source and destination credentials.
- [Reuse dbt™ Connection Credentials in dlt Pipelines - BigQuery](/app-help/guides/using-dlt-data-load-tool-pipelines-in-paradime/reuse-dbt-tm-connection-credentials-in-dlt-pipelines-bigquery.md): Learn how to reuse your dbt™ profiles.yml connection credentials to authenticate dlt pipelines.
- [dlt Data Pipeline - Google Sheets to Snowflake](/app-help/guides/using-dlt-data-load-tool-pipelines-in-paradime/python-data-pipeline-using-dlthub-google-sheets-to-snowflake.md): How to ingest data from Google Sheets into Snowflake using dltHub
- [Concepts](/app-help/concepts.md)
- [Working with Git](/app-help/concepts/working-with-git.md): Paradime Git Integration: Manage dbt™ project version control with Git. Utilize comprehensive Git features for seamless collaboration.
- [Git Lite](/app-help/concepts/working-with-git/git-lite.md): Simplified Git interface for dbt™ projects with built-in safeguards. Perfect for users starting their Git journey while ensuring proper workflow practices.
- [Git Advanced](/app-help/concepts/working-with-git/git-advanced.md): Paradime Git Advanced: Advanced Git features for complex dbt™ projects. Enhance code management and collaboration.
- [Read Only Branches](/app-help/concepts/working-with-git/read-only-branches.md): Paradime Read-Only Branches: Secure your dbt™ projects with read-only branches. Ensure integrity and control over code changes.
- [Merge Conflicts](/app-help/concepts/working-with-git/merge-conflicts.md): Paradime Merge Conflicts: Resolve merge conflicts in dbt™ projects effortlessly. Ensure smooth collaboration and code integration.
- [Delete Branches](/app-help/concepts/working-with-git/delete-branches.md): Clean up your dbt™ project repository by safely deleting merged branches using one-click pruning or manual deletion to keep your workspace organized
- [GitLens](/app-help/concepts/working-with-git/gitlens.md): Enhanced Git visibility and history tracking in Paradime with GitLens integration. Explore commit history, blame annotations, and file changes with powerful search capabilities.
- [Configuring Signed Commits on Paradime with SSH Keys](/app-help/concepts/working-with-git/configuring-signed-commits-on-paradime-with-ssh-keys.md): This guide explains how to set up SSH key-based commit signing on Paradime, which enhances the security and verification of your Git commits.
- [GitHub Branch Protection Guide: Preventing Direct Commits to Main](/app-help/concepts/working-with-git/github-branch-protection-guide-preventing-direct-commits-to-main.md): Learn to secure your codebase with GitHub branch protection rules to prevent direct pushes to main, enforce pull request reviews.
- [GitHub Merge Queue](/app-help/concepts/working-with-git/github-merge-queue.md): Automate GitHub pull request merging with merge queue CI/CD integration. Prevent code conflicts and failed builds using automated testing workflows.
- [dbt™ fundamentals](/app-help/concepts/dbt-fundamentals.md): Learn the dbt basics with Paradime's clear, step-by-step guidance, making it straightforward to master dbt and start building with confidence.
- [Getting started with dbt™](/app-help/concepts/dbt-fundamentals/getting-started-with-dbt.md): An introduction to dbt™ for beginners, covering core concepts, project structure,   models, sources, and testing to help you build reliable data transformations.
- [Introduction](/app-help/concepts/dbt-fundamentals/getting-started-with-dbt/introduction.md): Learn how dbt™ transforms SQL-based analytics by centralizing data transformations in the warehouse. This guide covers dbt’s role in the ELT stack, its benefits, and how it improves data reliability,
- [Project Strucuture](/app-help/concepts/dbt-fundamentals/getting-started-with-dbt/project-strucuture.md): Understand how dbt™ projects are structured for scalability and maintainability. This guide covers key components like models, sources, configuration files, and best practices for organizing SQL trans
- [Working with Sources](/app-help/concepts/dbt-fundamentals/getting-started-with-dbt/working-with-sources.md): Learn how dbt™ sources help manage raw data tables efficiently. This guide covers defining sources in YAML, using the source() function, tracking dependencies, and ensuring data freshness.
- [Testing Data Quality](/app-help/concepts/dbt-fundamentals/getting-started-with-dbt/testing-data-quality.md): Discover how dbt™ testing ensures data accuracy and reliability. Learn about built-in and custom tests, schema validations, referential integrity checks, and best practices for maintaining high-qualit
- [Models and Transformations](/app-help/concepts/dbt-fundamentals/getting-started-with-dbt/models-and-transformations.md): Explore how dbt™ models streamline data transformations using SQL. Learn about model dependencies, ref(), materialization, and Jinja macros to build modular, reusable, and testable transformations.
- [Configuring your dbt™ Project](/app-help/concepts/dbt-fundamentals/configuring-your-dbt-project.md)
- [Setting up your dbt\_project.yml](/app-help/concepts/dbt-fundamentals/configuring-your-dbt-project/setting-up-your-dbt_project.yml.md): Explains the crucial dbt\_project.yml configuration file, including its purpose, key components, and best practices for maintaining an organized and evolving dbt project.
- [Defining Your Sources in sources.yml](/app-help/concepts/dbt-fundamentals/configuring-your-dbt-project/define-your-sources.yml.md): Covers how to properly define and use sources in dbt™ by configuring the    \`sources.yml\` file, referencing sources in models, and ensuring data quality.
- [Testing Source Freshness](/app-help/concepts/dbt-fundamentals/configuring-your-dbt-project/testing-source-freshness.md): Learn how to configure and run source freshness checks in dbt™, ensuring your data is up-to-date and meets SLAs. Covers setup, optimization, and best practices for maintaining reliable data pipelines.
- [Unit Testing](/app-help/concepts/dbt-fundamentals/configuring-your-dbt-project/unit-testing.md): Learn how to use unit tests in dbt™ to validate transformation logic, prevent errors,    and improve code reliability before deploying to production.
- [Working with Tags](/app-help/concepts/dbt-fundamentals/configuring-your-dbt-project/working-with-tags-in-your-dbt-tm-project.md): Learn how to use tags in dbt™ to organize models, streamline execution, and improve workflow efficiency in analytics engineering.
- [Managing Seeds](/app-help/concepts/dbt-fundamentals/configuring-your-dbt-project/managing-seeds.md): Learn how to use dbt seeds to manage static data. Discover best practices for creating, loading, configuring, and maintaining CSV files in your dbt project for seamless data integration.
- [Environment Management](/app-help/concepts/dbt-fundamentals/configuring-your-dbt-project/environment-management.md): Learn how to set up and manage development, testing, and production environments in dbt projects.
- [Variables and Parameters](/app-help/concepts/dbt-fundamentals/configuring-your-dbt-project/variables-and-parameters.md): Learn how to use variables and parameters in dbt to make your data   transformations configurable, flexible, and environment-aware.
- [Macros](/app-help/concepts/dbt-fundamentals/configuring-your-dbt-project/macros.md): Learn how to use dbt™ macros to create reusable SQL logic and build    modular transformations. This guide covers creating macros, implementing   advanced techniques, and leveraging dbt packages to ex
- [Custom Tests](/app-help/concepts/dbt-fundamentals/configuring-your-dbt-project/custom-tests.md): Learn how to extend dbt™'s testing capabilities with custom tests. This guide covers   creating singular and generic tests, implementing parameterized tests, and integrating   with dbt packages for ad
- [Hooks & Operational Tasks](/app-help/concepts/dbt-fundamentals/configuring-your-dbt-project/hooks-and-operational-tasks.md): Learn how to use dbt™ hooks to automate operational tasks like granting permissions,   managing metadata, and implementing custom logic before or after model runs.
- [Packages](/app-help/concepts/dbt-fundamentals/configuring-your-dbt-project/packages.md): Learn how to extend dbt™'s functionality with packages. This guide covers installing, using, and creating packages to add reusable functionality like macros, models, and tests to your dbt project
- [Model Materializations](/app-help/concepts/dbt-fundamentals/model-materializations.md): Covers dbt's model materialization strategies, including table, view, incremental, and ephemeral, and how to configure materializations at the project and individual model level.
- [Table Materialization](/app-help/concepts/dbt-fundamentals/model-materializations/table-materialization.md): Learn about table materializations in dbt, understand when to use them, and explore their advantages and limitations.
- [View​ Materialization](/app-help/concepts/dbt-fundamentals/model-materializations/view-materialization.md): Learn about view materializations in dbt, understand when to use them, and explore their advantages and limitations.
- [Incremental Materialization](/app-help/concepts/dbt-fundamentals/model-materializations/incremental-materialization.md): Explains dbt's incremental modeling capabilities for updating only   new/modified data in large/complex transformations, covering different   strategies and best practices.
- [Using Merge for Incremental Models](/app-help/concepts/dbt-fundamentals/model-materializations/incremental-materialization/using-merge-for-incremental-models.md): Details the merge strategy for incremental models, which updates existing records   and inserts new ones using a database MERGE statement.
- [Using Delete+Insert for Incremental Models](/app-help/concepts/dbt-fundamentals/model-materializations/incremental-materialization/using-delete+insert-for-incremental-models.md): Covers the delete+insert method for incremental models, which replaces batches    of records by first deleting them and then inserting new versions.
- [Using Append for Incremental Models](/app-help/concepts/dbt-fundamentals/model-materializations/incremental-materialization/using-append-for-incremental-models.md): Explains the append-only method for incremental models, ideal for event logs   and immutable data where records are only added, never updated.
- [Using Microbatch for Incremental Models](/app-help/concepts/dbt-fundamentals/model-materializations/incremental-materialization/using-microbatch-for-incremental-models.md): Explores the microbatch method for incremental models, designed for    processing very large datasets in smaller batches for improved reliability   and performance.
- [Ephemeral Materialization](/app-help/concepts/dbt-fundamentals/model-materializations/ephemeral-materialization.md): Describes dbt's ephemeral materialization, which integrates models as CTEs in   dependent models, discussing advantages, disadvantages, and recommended use   cases.
- [Snapshots](/app-help/concepts/dbt-fundamentals/model-materializations/snapshots.md): Covers dbt's snapshot functionality for tracking historical changes using Type 2 Slowly Changing Dimensions, including configuration, strategies, metadata, and best practices.
- [Running dbt™](/app-help/concepts/dbt-fundamentals/running-dbt.md)
- [Mastering the dbt™ CLI](/app-help/concepts/dbt-fundamentals/running-dbt/mastering-the-dbt-cli.md)
- [Commands](/app-help/concepts/dbt-fundamentals/running-dbt/mastering-the-dbt-cli/commands.md): Covers the key dbt CLI commands and their use cases, including run, test, source freshness, compile, documentation, and utility commands to control data transformations.
- [Methods](/app-help/concepts/dbt-fundamentals/running-dbt/mastering-the-dbt-cli/methods.md): Learn how to use dbt selector methods to filter resources based on properties like tags, sources, paths, and configurations, improving the precision of dbt runs and tests.
- [Selector Methods](/app-help/concepts/dbt-fundamentals/running-dbt/mastering-the-dbt-cli/selector-methods.md): Explore dbt selector methods to filter resources based on properties like tags, sources, and configurations, with wildcard support for precise targeting during data transformations.
- [Graph Operators](/app-help/concepts/dbt-fundamentals/running-dbt/mastering-the-dbt-cli/graph-operators.md): Learn how to use dbt graph operators with the --select flag to navigate your project's execution graph, targeting specific models and their dependencies for precise execution in data pipelines.
- [Paradime fundamentals](/app-help/concepts/paradime-fundamentals.md)
- [Global Search](/app-help/concepts/paradime-fundamentals/global-search.md)
- [Paradime Apps Navigation](/app-help/concepts/paradime-fundamentals/global-search/paradime-apps-navigation.md): Paradime Apps Navigation: Navigate and utilize Paradime applications for dbt™ projects. Enhance workflow efficiency.
- [Invite users to your workspace](/app-help/concepts/paradime-fundamentals/global-search/invite-users-to-your-workspace.md): Use Paradime Global Search to invite users directly without accessing team settings. Simply search for 'Add New User' using cmd+K or ctrl+K to send invites via email or Slack.
- [Search and preview Bolt schedules status](/app-help/concepts/paradime-fundamentals/global-search/search-and-preview-bolt-schedules-status.md): Paradime Bolt Search: Search and preview the status of Bolt schedules for dbt™ projects. Ensure efficient schedule management.
- [Using Defer to Production in Paradime](/app-help/concepts/paradime-fundamentals/dbt-tm-defer-to-production.md): dbt™ Defer to Production: Manage dbt™ project transitions to production environments efficiently. Ensure seamless deployment with Paradime.
- [Workspaces and data mesh](/app-help/concepts/paradime-fundamentals/workspaces-and-data-mesh.md): A Paradime Workspace is a self-contained unit that comes with its own repo, users, data warehouse connections, production schedules, alerting, and notifications
- [Data Warehouse essentials](/app-help/concepts/data-warehouse-essentials.md)
- [BigQuery Multi-Project Service Account](/app-help/concepts/data-warehouse-essentials/bigquery-multi-project-service-account.md): Learn to set up dbt™ with multiple BigQuery projects using custom service accounts, source references, and database selection macros.
- [Documentation](/app-help/documentation.md)
- [DinoAI](/app-help/documentation/dino-ai.md): DinoAI is Paradime's intelligent assistant that accelerates analytics engineering workflows through warehouse-aware AI capabilities.
- [Agent Mode](/app-help/documentation/dino-ai/agent-mode.md): Agent Mode enables DinoAI to directly create and modify files in your project, leveraging warehouse metadata and context to automate analytics engineering tasks.
- [Use Cases](/app-help/documentation/dino-ai/agent-mode/use-cases.md): Practical examples of how to use DinoAI to solve real analytics engineering challenges and accelerate your dbt™ development workflow
- [Creating Sources from your Warehouse](/app-help/documentation/dino-ai/agent-mode/use-cases/creating-sources-from-your-warehouse.md): Automatically generate accurate sources.yml files by connecting DinoAI to your data warehouse metadata. Save time and eliminate errors when defining source tables for your dbt™ projects.
- [Generating dbt™ models](/app-help/documentation/dino-ai/agent-mode/use-cases/generating-dbt-tm-models.md): Build sophisticated dbt™ models quickly with DinoAI. Transform raw data into well-structured, readable SQL with proper joins, CTEs, and transformations following team standards.
- [Fixing Errors with Jira](/app-help/documentation/dino-ai/agent-mode/use-cases/fixing-errors-with-jira.md): Streamline troubleshooting by connecting Jira tickets to your development workflow. DinoAI analyzes ticket details, suggests fixes, and guides you through implementation without context switching.
- [Researching with Perplexity](/app-help/documentation/dino-ai/agent-mode/use-cases/researching-with-perplexity.md): Access up-to-date technical information and best practices through DinoAI's web search capabilities. Get cited, reliable answers to implement the latest dbt™ techniques in your projects.
- [Providing Additional Context Using PDFs](/app-help/documentation/dino-ai/agent-mode/use-cases/providing-additional-context-using-pdfs.md): Leverage project-specific PDFs as context for DinoAI. Extract business rules and technical specifications from documentation to create models that align with project requirements.
- [Generating Pull Request Descriptions](/app-help/documentation/dino-ai/agent-mode/use-cases/generating-pull-request-descriptions.md): Streamline your Git workflow by automatically generating comprehensive pull request descriptions. DinoAI analyzes code changes and creates professional documentation for better code reviews.
- [Using Your Project as Context to Set Up .dinorules](/app-help/documentation/dino-ai/agent-mode/use-cases/using-your-project-as-context-to-set-up-.dinorules.md): Automatically generate .dinorules that reflect your team's established patterns by analyzing existing dbt™ project files. Codify conventions without starting from scratch.
- [Debugging Failed dbt™ Commands with Terminal Context](/app-help/documentation/dino-ai/agent-mode/use-cases/debugging-failed-dbt-tm-commands-with-terminal-context.md): Debug failed dbt™ runs quickly by adding terminal error messages and output directly to DinoAI. Get specific troubleshooting guidance without switching between tools.
- [God Mode](/app-help/documentation/dino-ai/agent-mode/god-mode.md): God Mode lets DinoAI auto-accept tool calls and file changes to complete multi-step workflows without confirmation prompts. Enable it from the DinoAI prompt input to run end-to-end tasks autonomously.
- [Speech-To-Text](/app-help/documentation/dino-ai/agent-mode/speech-to-text-tool.md): Use DinoAI's Speech-to-Text feature to interact with your DinoAI assistant using voice commands instead of typing. Perfect for hands-free development and conversational interactions.
- [DinoAI Credits](/app-help/documentation/dino-ai/agent-mode/dinoai-credits.md): Understand how DinoAI credits work, how they're calculated, and how Credit Saver Mode helps optimize your usage while maintaining conversation context
- [Context](/app-help/documentation/dino-ai/context.md): Context provides DinoAI with information about your project and data warehouse, enabling more accurate and relevant assistance for analytics engineering tasks.
- [File Context](/app-help/documentation/dino-ai/context/file-context.md): File Context allows you to provide specific files to DinoAI, helping it understand your code patterns, naming conventions, and existing project structure.
- [Inline File Context](/app-help/documentation/dino-ai/context/inline-file-context.md): File Context allows you to provide specific files to DinoAI, helping it   understand your code patterns, naming conventions, and existing project   structure.
- [Directory Context](/app-help/documentation/dino-ai/context/directory-context.md): Directory Context enables DinoAI to access entire folders of files, helping it understand patterns across multiple related models in your project.
- [Terminal Conext](/app-help/documentation/dino-ai/context/terminal-conext.md): Add terminal output, error messages, and command results as context to DinoAI   directly from your terminal. Highlight terminal content and send it to chat with your specific instructions.
- [Tools and Features](/app-help/documentation/dino-ai/tools-and-features.md): DinoAI Tools extend its capabilities by providing access to your data warehouse, files, external services, and web resources for contextual assistance.
- [Confluence Tool](/app-help/documentation/dino-ai/tools-and-features/confluence-tool.md): Pull Confluence pages into DinoAI to turn specs, technical designs, and team documentation into actionable development work. Extract requirements, generate implementation tasks, and build dbt models.
- [Column Level Lineage](/app-help/documentation/dino-ai/tools-and-features/column-level-lineage.md): Trace column-level lineage and search your full data catalog directly from DinoAI. Understand upstream and downstream dependencies and find related assets across your data stack.
- [Data Warehouse Tools](/app-help/documentation/dino-ai/tools-and-features/warehouse-tool.md): Explore your connected warehouse metadata with DinoAI to inspect schemas, tables, columns, and relationships and build more accurate dbt assets faster.
- [BigQuery Tools](/app-help/documentation/dino-ai/tools-and-features/warehouse-tool/bigquery-tools.md): Explore BigQuery projects, datasets, tables, schemas, and query performance directly from DinoAI to build accurate SQL, debug slow jobs, and investigate costs.
- [BigQuery Query Analysis Tool](/app-help/documentation/dino-ai/tools-and-features/warehouse-tool/bigquery-query-analysis-tool.md)
- [ClickHouse Tools](/app-help/documentation/dino-ai/tools-and-features/warehouse-tool/clickhouse-tools.md): Explore ClickHouse databases, tables, and schemas directly from DinoAI to write accurate SQL, generate dbt sources, and understand table structure faster.
- [Databricks Tools](/app-help/documentation/dino-ai/tools-and-features/warehouse-tool/databricks-tools.md): Explore Databricks catalogs, schemas, tables, and columns directly from DinoAI to write accurate SQL, generate dbt sources, and navigate Unity Catalog faster.
- [DuckDB Tool](/app-help/documentation/dino-ai/tools-and-features/warehouse-tool/duckdb-tool.md): Explore DuckDB schemas, tables, and columns directly from DinoAI to write accurate SQL, generate dbt sources, and understand table structure faster.
- [Microsoft Fabric Tools](/app-help/documentation/dino-ai/tools-and-features/warehouse-tool/microsoft-fabric-tools.md): Explore Microsoft Fabric databases, schemas, tables, and columns directly from DinoAI to write accurate SQL, generate dbt sources, and understand warehouse structure faster.
- [Redshift Tools](/app-help/documentation/dino-ai/tools-and-features/warehouse-tool/redshift-tools.md): Explore Redshift databases, schemas, tables, and columns directly from DinoAI to write accurate SQL, generate dbt sources, and understand warehouse structure faster.
- [Snowflake Tools](/app-help/documentation/dino-ai/tools-and-features/warehouse-tool/snowflake-tools.md): Explore Snowflake databases, schemas, tables, columns, and query performance directly from DinoAI to write accurate SQL, generate dbt sources, and diagnose slow queries faster.
- [Snowflake Query Analysis Tool](/app-help/documentation/dino-ai/tools-and-features/warehouse-tool/snowflake-query-analysis-tool.md): Deep-dive into Snowflake query performance directly from DinoAI. Analyze execution plans, diagnose bottlenecks, surface spill metrics, and get actionable optimization suggestions.
- [SQL Server Tools](/app-help/documentation/dino-ai/tools-and-features/warehouse-tool/sql-server-tools.md): Explore SQL Server databases, schemas, tables, and columns directly from DinoAI to write accurate SQL, generate dbt sources, and understand warehouse structure faster.
- [Trino Tools](/app-help/documentation/dino-ai/tools-and-features/warehouse-tool/trino-tools.md): Explore Trino catalogs, schemas, tables, and columns directly from DinoAI to write accurate SQL, generate dbt sources, and understand cross-source warehouse structure faster.
- [SQL Execution Tool](/app-help/documentation/dino-ai/tools-and-features/warehouse-tool/sql-execution-tool.md): Run SQL against your connected data warehouse directly from DinoAI. Profile datasets, inspect model outputs, find distinct values, and generate dbt tests based on real data.
- [File System Tool](/app-help/documentation/dino-ai/tools-and-features/file-system-tool.md): The File System Tool enables DinoAI to create, modify, read, and search files in your repository, with built-in safeguards for controlled code changes.
- [GitHub PR Management Tool](/app-help/documentation/dino-ai/tools-and-features/github-pr-management-tool.md): Create, read, and list GitHub pull requests, including diffs, CI status, and reviews.
- [Google Docs Tool](/app-help/documentation/dino-ai/tools-and-features/google-docs-tool.md): Import Google Docs into DinoAI to turn specs, requirements, and documentation into actionable development work. Extract content, generate dbt model requirements, and implement features.
- [Google Drive Search Tool](/app-help/documentation/dino-ai/tools-and-features/google-drive-search-tool.md): Search and discover files across your Google Drive directly from DinoAI. Find the latest specs, runbooks, and data contracts by file type, folder, content, or modification date.
- [Google Sheets Tool](/app-help/documentation/dino-ai/tools-and-features/google-sheets-tool.md): Read Google Sheets data by spreadsheet ID and return it as CSV with metadata.
- [Jira Tool](/app-help/documentation/dino-ai/tools-and-features/jira-tool.md): The Jira Tool connects DinoAI to your Jira tickets, helping implement features and fix issues based on requirements stored in your task management system.
- [Linear Tool](/app-help/documentation/dino-ai/tools-and-features/linear-tool.md): The Linear Tool connects DinoAI to your Linear issues, helping implement features and fix bugs based on requirements stored in your task management system
- [Notion Tool](/app-help/documentation/dino-ai/tools-and-features/notion-tool.md): Connect Notion to DinoAI to search workspace pages, read content and comments, and turn team docs, specs, and feedback into actionable development work.
- [PDF Tool](/app-help/documentation/dino-ai/tools-and-features/pdf-tool.md): The PDF Tool allows DinoAI to extract and understand information from PDF documents, enabling it to reference documentation and requirements in responses.
- [Perplexity Tool](/app-help/documentation/dino-ai/tools-and-features/perplexity-tool.md): The Perplexity Tool integrates web search capabilities into DinoAI, providing up-to-date information with cited sources for accurate technical assistance.
- [Terminal Tool](/app-help/documentation/dino-ai/tools-and-features/terminal-tool.md): The Terminal Tool enables DinoAI to suggest and execute terminal commands for Git operations, dbt runs, and other command-line tasks with error analysis.
- [Web Search Tool](/app-help/documentation/dino-ai/tools-and-features/web-search-tool.md): Search the web and extract page content directly from DinoAI to research documentation, package references, and current technical guidance without leaving Paradime.
- [.dinorules](/app-help/documentation/dino-ai/dino-rules.md): .dinorules is a configuration file that allows teams to define custom instructions and development standards for the DinoAI Copilot.
- [.dinoprompts](/app-help/documentation/dino-ai/dino-prompts.md): .dinoprompts is a YAML configuration file that enables analytics teams to create, customize, and share AI prompts specifically designed for data workflows within DinoAI.
- [DinoAI Settings](/app-help/documentation/dino-ai/dinoai-settings.md): Configure DinoAI settings including panel layout, inline selection menu, usage monitoring, and .dinorules access to optimize your AI-powered development experience.
- [Admin Dashboard](/app-help/documentation/dino-ai/admin-dashboard.md): Monitor and analyze DinoAI usage across your organization with comprehensive analytics on AI conversations, tool usage, and user engagement patterns.
- [Ask Mode](/app-help/documentation/dino-ai/ask-mode.md): Learn how to use DinoAI's Ask Mode for conversational assistance with your dbt™ development
- [Version Control](/app-help/documentation/dino-ai/version-control.md)
- [Production Pipelines](/app-help/documentation/dino-ai/production-pipelines.md): DinoAI's integration with Paradime Bolt provides detailed summaries and recommendations to help troubleshoot issues during dbt™ model deployments in production environments.
- [Data Documentation](/app-help/documentation/dino-ai/data-documentation.md): Paradime's Data Catalog, powered by DinoAI, automatically generates detailed documentation for data models and columns to improve data clarity and collaboration.
- [Code IDE](/app-help/documentation/code-ide.md)
- [User interface](/app-help/documentation/code-ide/user-interface.md): Paradime IDE UI: Navigate the user-friendly interface for efficient dbt™ project management. Optimize development with our intuitive design and features.
- [File Navigation](/app-help/documentation/code-ide/user-interface/file-navigation.md): Paradime IDE provides powerful search and find & replace functionality, enabling efficient project navigation and time-saving development workflows.
- [Autocompletion](/app-help/documentation/code-ide/user-interface/autocompletion.md): Paradime IDE autocompletion boosts dbt development productivity with intelligent suggestions for Jinja templates, dbt-specific functions, and YAML configurations.
- [Context Menu](/app-help/documentation/code-ide/user-interface/context-menu.md): Boost productivity in Paradime's Code IDE with context menu features. Learn about each option and watch a step-by-step tutorial to enhance your dbt™ development using DinoAI Copilot.
- [Flexible layout](/app-help/documentation/code-ide/user-interface/flexible-layout.md): Paradime Flexible Layout: Customize your dbt™ development environment with flexible layout options. Enhance workflow efficiency with personalized setups.
- ["Peek" and "Go To" Definition](/app-help/documentation/code-ide/user-interface/peek-and-go-to-definition.md): Paradime Peek & Go To: Instantly navigate dbt™ project code with peek and go-to-definition features. Improve code understanding and debugging.
- [IDE preferences](/app-help/documentation/code-ide/user-interface/ide-preferences.md): Paradime IDE Preferences: Customize your dbt™ development environment. Tailor settings for an optimized and personalized workflow
- [Shortcuts](/app-help/documentation/code-ide/user-interface/file-editing-features.md): Master the Paradime Code IDE shortcuts to accelerate your dbt™ development. From basic text editing to advanced multi-cursor operations, these keyboard and UI shortcuts will help you code more efficie
- [Left Panel](/app-help/documentation/code-ide/left-panel.md)
- [Find and Replace](/app-help/documentation/code-ide/left-panel/search-find-replace.md): Paradime IDE provides powerful search and find & replace functionality, enabling efficient project navigation and time-saving development workflows.
- [Git Lite](/app-help/documentation/code-ide/left-panel/git-lite.md): Paradime Git Lite - Simplified Git version control for dbt™ projects. Manage code with ease and efficiency
- [Command Panel](/app-help/documentation/code-ide/command-panel.md)
- [Data Explorer](/app-help/documentation/code-ide/command-panel/data-explorer.md): Paradime Data Preview: Instantly preview data changes in your dbt™ projects. Validate updates and ensure data accuracy.
- [Lineage](/app-help/documentation/code-ide/command-panel/lineage-preview.md): Paradime Lineage Preview: Visualize data lineage in dbt™ projects. Track data flow and dependencies easily.
- [Catalog](/app-help/documentation/code-ide/command-panel/docs-preview.md): View and edit dbt™ project's documentation in real-time without context switching
- [Lint](/app-help/documentation/code-ide/command-panel/code-quality.md): Learn how to use Paradime's code quality tools to automatically format SQL and YAML files in your dbt™ project.
- [Terminal](/app-help/documentation/code-ide/terminal.md): Paradime Integrated Terminal: Access powerful terminal features within the IDE for dbt™ projects. Run commands and scripts seamlessly.
- [Running dbt™](/app-help/documentation/code-ide/terminal/running-dbt.md): Run dbt™ in Paradime: Execute dbt™ commands directly within the integrated terminal. Streamline your project workflows.
- [Paradime CLI](/app-help/documentation/code-ide/terminal/paradime-cli.md): Paradime CLI: Command-line interface for managing dbt™ projects. Enhance productivity with powerful CLI tools.
- [Additional Features](/app-help/documentation/code-ide/additional-features.md)
- [Scratchpad](/app-help/documentation/code-ide/additional-features/scratchpad.md): Paradime Scratchpad creates temporary, gitignored files, supports SQL, dbt models, and Python. Draft code, perform tests, and instantly preview query results with instant data preview.
- [Bolt](/app-help/documentation/bolt.md): Powerful orchestration tool for automating dbt workflows with scheduling, monitoring, and CI/CD capabilities in Paradime.
- [Creating Schedules](/app-help/documentation/bolt/creating-schedules.md): Step-by-step guide to creating automated dbt workflows in Paradime Bolt, including configuration options and best practices.
- [1. Schedule Settings](/app-help/documentation/bolt/creating-schedules/schedule-settings.md): Configure Bolt schedule parameters including type selection, branch settings, and basic configuration options for Bolt schedules.
- [2. Command Settings](/app-help/documentation/bolt/creating-schedules/command-settings.md): Orchestrate command execution for dbt™, Elementary, Tableau, Power BI, Monte Carlo & Python scripts in Paradime Bolt schedules with smart error handling.
- [Airbyte Connector Sync](/app-help/documentation/bolt/creating-schedules/command-settings/airbyte-connector-sync.md): Trigger Airbyte syncs and run dbt™  transformations automatically with Paradime Bolt integration.
- [dbt™ Commands](/app-help/documentation/bolt/creating-schedules/command-settings/dbt-tm-commands.md): Streamline your dbt™ pipeline execution with Paradime Bolt: automate dependencies, orchestrate multiple commands, and configure warehouse connections for efficient workflows.
- [Elementary Commands](/app-help/documentation/bolt/creating-schedules/command-settings/elementary-commands.md): Enhance data observability with Elementary CLI integration in Paradime Bolt - seamlessly monitor and validate your dbt™ data pipeline execution and testing.
- [Fivetran Connector Sync](/app-help/documentation/bolt/creating-schedules/command-settings/fivetran-connector-sync.md): Trigger Fivetran syncs and run dbt™  transformations automatically with Paradime Bolt integration.
- [Lightdash Commands](/app-help/documentation/bolt/creating-schedules/command-settings/lightdash-commands.md): Integrate Lightdash CLI with Paradime Bolt to automate deployment, testing, and management of dbt™ + Lightdash projects with streamlined workflows.
- [Microsoft Power BI Dataset Refresh](/app-help/documentation/bolt/creating-schedules/command-settings/power-bi-dataset-refresh.md): Automate Power BI dataset refreshes with Paradime Bolt using REST API integration to sync visualizations with dbt™ pipeline completions for current dashboards.
- [Monte Carlo Commands](/app-help/documentation/bolt/creating-schedules/command-settings/monte-carlo-commands.md): Integrate Monte Carlo with Paradime Bolt to sync dbt™ metadata, manifests, and run results to Monte Carlo dashboard for enhanced data pipeline visibility.
- [Paradime Bolt Schedule Toggle Commands](/app-help/documentation/bolt/creating-schedules/command-settings/paradime-bolt-schedule-toggle-commands.md): Manage Paradime Bolt schedules dynamically with Schedule Toggle Commands: pause and resume schedule execution using API credentials for flexible pipeline control.
- [Paradime Refresh Catalog](/app-help/documentation/bolt/creating-schedules/command-settings/paradime-refresh-catalog.md): Refresh your Paradime Data Catalog on-demand with the Paradime Refresh Catalog command. Update catalog metadata immediately after data changes without waiting for the overnight refresh.
- [Python Scripts](/app-help/documentation/bolt/creating-schedules/command-settings/python-scripts.md): Execute Python scripts in Paradime with Poetry dependency management, environment variables for secrets, and support for data libraries like Pandas and PySpark for custom processing.
- [Tableau Workbook Refresh](/app-help/documentation/bolt/creating-schedules/command-settings/tableau-workbook-refresh.md): Automate Tableau workbook refreshes with Paradime Bolt using REST API integration, syncing visualizations with dbt™ pipeline completions for up-to-date dashboards.
- [Tableau Data Source Refresh](/app-help/documentation/bolt/creating-schedules/command-settings/tableau-data-source-refresh.md): Automate Tableau Data Extracts refreshes with Paradime Bolt using REST API integration, syncing visualizations with dbt™ pipeline completions for up-to-date dashboards.
- [3. Trigger Types](/app-help/documentation/bolt/creating-schedules/trigger-types.md): Explore different ways to trigger Bolt schedules: time-based, event-driven, merge triggers, and API-based execution options.
- [4. Notification Settings](/app-help/documentation/bolt/creating-schedules/notification-settings.md): Set up alerts via email, Slack, or Microsoft Teams for schedule success, failures, and SLA breaches in Bolt.
- [5. Environment Variables Override](/app-help/documentation/bolt/creating-schedules/schedules-environment-variables.md): Override environment variables at the schedule level in Paradime Bolt to customize runtime settings, manage secrets, and configure different values for development, staging, and production pipelines.
- [6. Trigger Integrations](/app-help/documentation/bolt/creating-schedules/trigger-integrations.md): Set up Bolt schedule triggers to automatically connect pipeline execution with external tools and services.
- [Trigger Datadog Incidents](/app-help/documentation/bolt/creating-schedules/trigger-integrations/trigger-datadog-incidents.md): Configure Datadog triggers in Paradime Bolt to automatically create incidents for failed runs.
- [Trigger incident.io Incidents](/app-help/documentation/bolt/creating-schedules/trigger-integrations/trigger-incident.io-incidents.md): Configure incident.io triggers in Paradime Bolt to automatically create incidents for failed runs.
- [Trigger PagerDuty Alarms](/app-help/documentation/bolt/creating-schedules/trigger-integrations/trigger-pagerduty-alarms.md): Configure PagerDuty triggers in Paradime Bolt to automatically create incidents for failed runs.
- [Trigger New Relic Incidents](/app-help/documentation/bolt/creating-schedules/trigger-integrations/trigger-new-relic-incidents.md): Configure New Relic triggers in Paradime Bolt to automatically create incidents for failed runs.
- [Alert Templates](/app-help/documentation/bolt/creating-schedules/alert-templates.md): Customize Slack and Microsoft Teams Bolt notifications with reusable Jinja2 templates for run status, command details, and error context.
- [Job templates](/app-help/documentation/bolt/creating-schedules/templates.md): Discover Paradime's pre-built templates and webhooks for dbt™ pipeline automation. Streamline your data workflows by automated testing, monitoring, and integrations with tools like Jira, Linear, Cenus
- [dbt™ Templates](/app-help/documentation/bolt/creating-schedules/templates/dbt-tm-templates.md): Essential dbt™ templates for foundational data pipeline operations including   model execution, testing, source monitoring, and incremental rebuilds.
- [Run and Test all your dbt™ Models](/app-help/documentation/bolt/creating-schedules/templates/dbt-tm-templates/run-and-test-all-your-dbt-tm-models.md): Use this template to execute and test all the dbt™️ models in your project.
- [Snapshot Source Data Freshness](/app-help/documentation/bolt/creating-schedules/templates/dbt-tm-templates/snapshot-source-data-freshness.md): Use this template to check the freshness of your data sources.
- [Build and Test Models with New Source Data](/app-help/documentation/bolt/creating-schedules/templates/dbt-tm-templates/deferred-model-execution.md): Use this template to execute models only when new data has landed in your source tables and reduce unnecessary model runs.
- [Re-executes the last dbt™ command from the point of failure](/app-help/documentation/bolt/creating-schedules/templates/dbt-tm-templates/re-executes-the-last-dbt-command.md): Use this template to execute and test all the dbt™️ models form last point of failure using dbt retry.
- [CI/CD Templates](/app-help/documentation/bolt/creating-schedules/templates/ci-cd-templates.md): CI/CD templates for automated testing and deployment workflows that integrate with your git workflow for seamless development and production releases.
- [Test Code Changes On Pull Requests](/app-help/documentation/bolt/creating-schedules/templates/ci-cd-templates/test-code-changes-on-pull-requests.md): Use this template to run and test modified models and their downstream dependencies when your pull request opens.
- [Deploy Code Changes On Merge](/app-help/documentation/bolt/creating-schedules/templates/ci-cd-templates/deploy-code-changes-on-merge.md)
- [Observability Templates](/app-help/documentation/bolt/creating-schedules/templates/observability-templates.md): Data observability templates for monitoring data quality, pipeline health, and automated alerting through Elementary integration with team communication tools.
- [Send Elementary alerts to MS Teams](/app-help/documentation/bolt/creating-schedules/templates/observability-templates/send-elementary-alerts-to-ms-teams.md): SendElementary data observability alerts to Microsoft Teams after your dbt™ runs
- [Send Elementary alerts to Slack](/app-help/documentation/bolt/creating-schedules/templates/observability-templates/send-elementary-alerts-to-slack.md): send Elementary data observability alerts to Slack after your Bolt runs
- [Ticketing Templates](/app-help/documentation/bolt/creating-schedules/templates/ticketing-templates.md): Ticketing system integrations that automatically create tickets and work items   when pipeline failures occur, streamlining incident tracking and resolution.
- [Create Jira Tickets](/app-help/documentation/bolt/creating-schedules/templates/ticketing-templates/create-jira-tickets.md): Learn how to automatically create Jira tickets from failed dbt™ runs using Bolt webhooks. This guide covers setup, configuration, and best practices for data teams using Jira for pipeline monitoring.
- [Create Linear Issues](/app-help/documentation/bolt/creating-schedules/templates/ticketing-templates/create-linear-issues.md): Automatically create Linear issues when dbt™ production runs fail
- [Create Azure DevOps Items](/app-help/documentation/bolt/creating-schedules/templates/ticketing-templates/create-azure-devops-items.md): Automatically create Azure DevOps work items when dbt™ production runs fail
- [Reverse ETL Templates](/app-help/documentation/bolt/creating-schedules/templates/reverse-etl-templates.md): Reverse ETL templates for automatically triggering data syncs to operational tools and customer engagement platforms after successful pipeline runs.
- [Trigger Census Syncs](/app-help/documentation/bolt/creating-schedules/templates/reverse-etl-templates/trigger-census-syncs.md): Automatically trigger Census syncs after successful dbt jobs
- [Trigger Hightouch Syncs](/app-help/documentation/bolt/creating-schedules/templates/reverse-etl-templates/trigger-hightouch-syncs.md): Trigger Hightouch Syncs when the following Bolt schedules succeed.
- [Trigger Hightouch Sequence Sync](/app-help/documentation/bolt/creating-schedules/templates/reverse-etl-templates/trigger-hightouch-sequence-sync.md): Automatically trigger Hightouch sequence syncs after successful dbt™ production runs
- [Dashboard Templates](/app-help/documentation/bolt/creating-schedules/templates/dashboard-templates.md): Dashboard refresh templates for automatically updating analytics dashboards and reports when your data pipelines complete successfully.
- [Trigger Hex Projects](/app-help/documentation/bolt/creating-schedules/templates/dashboard-templates/trigger-hex-projects.md): Automatically trigger Hex projects after successful dbt™ production runs.
- [Schedules as Code](/app-help/documentation/bolt/creating-schedules/schedules-as-code.md): Manage Bolt schedules using YAML configuration files for version control and GitOps workflows.
- [JSON schema Bolt Schedules](/app-help/documentation/bolt/creating-schedules/schedules-as-code/json-schema-bolt-schedules.md)
- [Managing Schedules](/app-help/documentation/bolt/managing-schedules.md): Monitor and manage Bolt schedules with comprehensive tools for tracking performance, analyzing logs, and troubleshooting issues.
- [Schedule Configurations](/app-help/documentation/bolt/managing-schedules/schedule-configurations.md): View and modify existing Bolt schedules, manage scheduled runs, and access different code formats for deployment.
- [Viewing Run Log History](/app-help/documentation/bolt/managing-schedules/viewing-run-log-history.md): Track schedule performance through execution history, success rates, and comprehensive run logs in Bolt.
- [Analyzing Individual Run Details](/app-help/documentation/bolt/managing-schedules/analyzing-run-details.md): Deep dive into specific run executions with DAG visualizations, logs, and artifacts for thorough analysis.
- [Configuring Source Freshness](/app-help/documentation/bolt/managing-schedules/analyzing-run-details/configuring-source-freshness.md): Set up and manage source data freshness checks in Bolt to maintain data quality and meet SLA requirements.
- [Bolt API](/app-help/documentation/bolt/bolt-api.md): Paradime Schedules API: Utilize the API to trigger dbt™ project schedules for automate and streamline scheduling processes.
- [Special Environment Variables](/app-help/documentation/bolt/special-environment-variables.md)
- [Audit environment variables](/app-help/documentation/bolt/special-environment-variables/audit-environment-variables.md): Paradime Audit Variables: Manage and audit environment variables for dbt™ projects. Ensure configuration accuracy and security.
- [Runtime environment variables](/app-help/documentation/bolt/special-environment-variables/runtime-environment-variables.md): Paradime Runtime Variables: Configure runtime environment variables for dbt™ projects. Ensure smooth and secure project execution.
- [Integrations](/app-help/documentation/bolt/integrations.md)
- [Reverse ETL](/app-help/documentation/bolt/integrations/reverse-etl.md)
- [Hightouch](/app-help/documentation/bolt/integrations/reverse-etl/hightouch.md): Paradime Hightouch Syncs: Automate Hightouch syncs for dbt™ projects, and make sure full data synchronization and integration.
- [Orchestration](/app-help/documentation/bolt/integrations/orchestration.md): Paradime Bolt Integration: Connect Bolt with other orchestration tools for dbt™ projects. Enhance workflow automation and management without struggles.
- [Azure Data Factory (ADF)](/app-help/documentation/bolt/integrations/orchestration/azure-data-factory-adf.md): Paradime ADF Integration: Integrate Azure Data Factory with dbt™ projects. Enhanced data pipeline management and automation.
- [Airflow](/app-help/documentation/bolt/integrations/orchestration/airflow.md)
- [CI/CD](/app-help/documentation/bolt/ci-cd.md)
- [Turbo CI](/app-help/documentation/bolt/ci-cd/turbo-ci.md): Paradime Bolt Turbo CI: Continuous integration for dbt™ projects. Automate testing and deployment for enhanced workflow efficiency.
- [Azure DevOps](/app-help/documentation/bolt/ci-cd/turbo-ci/azure-devops.md): Azure DevOps & Bolt Turbo CI: Integrate Azure DevOps with Paradime for dbt™ projects. Streamline continuous integration and deployment.
- [BitBucket](/app-help/documentation/bolt/ci-cd/turbo-ci/bitbucket.md)
- [GitHub](/app-help/documentation/bolt/ci-cd/turbo-ci/github.md): GitHub & Bolt Turbo CI: Connect GitHub with Paradime for dbt™ projects. Enhance continuous integration and deployment workflows.
- [GitLab](/app-help/documentation/bolt/ci-cd/turbo-ci/gitlab.md): GitLab & Bolt Turbo CI: Integrate GitLab with Paradime for dbt™ projects. Optimize continuous integration and deployment processes.
- [Paradime Turbo CI Schema Cleanup](/app-help/documentation/bolt/ci-cd/turbo-ci/paradime-turbo-ci-schema-cleanup.md): The Paradime Turbo CI Schema Cleanup macro automates the removal of temporary datasets created during CI testing. This dbt macro identifies and drops all schemas generated when running CI.
- [Continuous Deployment with Bolt](/app-help/documentation/bolt/ci-cd/continuous-deployment-with-bolt.md)
- [GitHub Native Continuous Deployment](/app-help/documentation/bolt/ci-cd/continuous-deployment-with-bolt/continuous-deployment.md): Paradime Custom CD: Configure custom continuous deployment for dbt™ projects. Tailor deployment processes to meet specific needs.
- [Using Azure Pipelines](/app-help/documentation/bolt/ci-cd/continuous-deployment-with-bolt/using-azure-pipelines.md): Azure Pipelines & Custom CD: Set up custom continuous deployment with Azure Pipelines for dbt™ projects. Enhance deployment flexibility.
- [Using BitBucket Pipelines](/app-help/documentation/bolt/ci-cd/continuous-deployment-with-bolt/using-bitbucket-pipelines.md)
- [Using GitLab Pipelines](/app-help/documentation/bolt/ci-cd/continuous-deployment-with-bolt/using-gitlab-pipelines.md)
- [Column-Level Lineage Diff](/app-help/documentation/bolt/ci-cd/lineage-diff.md): Paradime Lineage Diff: Analyze differences in dbt™ data lineage. Track changes and ensure data consistency across versions.
- [dbt™ mesh](/app-help/documentation/bolt/ci-cd/lineage-diff/dbt-mesh.md): GitHub & Bolt Turbo CI: Connect GitHub with Paradime for dbt™ projects. Enhance continuous integration and deployment workflows.
- [Looker](/app-help/documentation/bolt/ci-cd/lineage-diff/looker.md): GitHub & Bolt Turbo CI: Connect GitHub with Paradime for dbt™ projects. Enhance continuous integration and deployment workflows.
- [Tableau](/app-help/documentation/bolt/ci-cd/lineage-diff/tableau.md): GitHub & Bolt Turbo CI: Connect GitHub with Paradime for dbt™ projects. Enhance continuous integration and deployment workflows.
- [Thoughtspot](/app-help/documentation/bolt/ci-cd/lineage-diff/thoughtspot.md): GitHub & Bolt Turbo CI: Connect GitHub with Paradime for dbt™ projects. Enhance continuous integration and deployment workflows.
- [Radar](/app-help/documentation/radar.md): Paradime’s Radar suite helps data teams optimize operations with features like cost management, dbt™ monitoring, team efficiency tracking, and real-time alerts for proactive issue management.
- [Get Started](/app-help/documentation/radar/getting-started.md): Get started with Paradime’s Radar by setting up cost optimization, dbt™ monitoring, team efficiency tracking, and real-time alerting with this comprehensive setup guide.
- [Cost Management](/app-help/documentation/radar/cost-management.md): Radar's AI-powered Cost Management suite helps monitor, analyze, and optimize data warehouse costs with integrated dashboards, allowing you to track expenses and improve efficiency.
- [Snowflake Cost Optimization](/app-help/documentation/radar/cost-management/snowflake-cost-optimization.md): Maximize Snowflake efficiency with AI-driven tools like Warehouse Autoscaler and AI Agent Optimizer, enabling automatic rightsizing and cost-saving optimization strategies.
- [Snowflake Cost Monitoring](/app-help/documentation/radar/cost-management/snowflake-cost-monitoring.md): Monitor Snowflake warehouse expenses, track usage patterns, and make data-driven decisions to optimize costs without compromising performance.
- [BigQuery Cost Monitoring](/app-help/documentation/radar/cost-management/bigquery-cost-monitoring.md): Monitor, analyze, and optimize BigQuery usage and costs with detailed insights on query performance, daily spend, user costs, and dbt models to reduce expenses and boost efficiency.
- [dbt™ Monitoring](/app-help/documentation/radar/dbt-monitoring.md): Radar’s dbt™ Monitoring provides in-depth insights into dbt™ schedules, models, sources, and tests to optimize performance, ensure reliability, and maintain high data quality.
- [Schedules Dashboard](/app-help/documentation/radar/dbt-monitoring/schedules-dashboard.md): Monitor and optimize dbt™ schedule performance with Paradime’s Schedules Dashboard, providing insights into execution efficiency, resource allocation, and overall pipeline reliability.
- [Models Dashboard](/app-help/documentation/radar/dbt-monitoring/models-dashboard.md): Gain comprehensive insights into dbt™ model performance and dependencies with Paradime’s Models Dashboard, helping teams optimize models, reduce errors, and enhance pipeline efficiency.
- [Sources Dashboard](/app-help/documentation/radar/dbt-monitoring/sources-dashboard.md): Paradime’s Sources Dashboard provides detailed insights into data source freshness and health, enabling teams to monitor and optimize data inputs for reliable analytics operations.
- [Tests Dashboard](/app-help/documentation/radar/dbt-monitoring/tests-dashboard.md): Paradime’s Tests Dashboard helps teams track dbt™ test outcomes, analyze failures, and maintain data quality by providing detailed insights into test performance and trends.
- [Team Efficiency Tracking](/app-help/documentation/radar/team-efficiency-tracking.md): Track pull request performance, commit patterns, and team contributions to improve productivity and workflows with Paradime’s Team Efficiency Tracking dashboard.
- [Real-time Alerting](/app-help/documentation/radar/real-time-alerting.md): Receive instant alerts for job performance, cost spikes, and data quality issues in your data pipeline via Slack, MS Teams, or email, ensuring proactive issue management.
- [Looker Monitoring](/app-help/documentation/radar/looker-monitoring.md): The Looker Monitoring Dashboard provides valuable insights into your Looker usage and costs. This tool enables teams to optimize their Looker implementation, control costs, and identify unused or expe
- [Data Catalog](/app-help/documentation/data-catalog.md): Paradime Data Catalog: Enhanced discovery and management of your data assets with comprehensive dbt™ coverage, real-time execution status, and advanced lineage capabilities.
- [Data Assets](/app-help/documentation/data-catalog/data-assets.md): Paradime Data Assets: Manage and utilize various data products for dbt™ projects. Enhance analytics with integrated data assets.
- [Looker assets](/app-help/documentation/data-catalog/data-assets/looker-assets.md): Paradime Looker Assets: Integrate and manage Looker data assets within dbt™ projects. Enhance data insights and visualization.
- [Tableau assets](/app-help/documentation/data-catalog/data-assets/tableau-assets.md): Paradime Tableau Assets: Incorporate Tableau data assets into dbt™ projects. Improve data analysis and reporting.
- [Power BI assets](/app-help/documentation/data-catalog/data-assets/power-bi-assets.md): Paradime Power BI Assets: Integrate Power BI data assets with dbt™ projects. Enhance analytics and reporting capabilities.
- [Sigma assets](/app-help/documentation/data-catalog/data-assets/sigma-assets.md): Paradime Sigma Assets: Integrate and manage Sigma data assets within dbt™ projects. Enhance data insights and visualization.
- [ThoughtSpot assets](/app-help/documentation/data-catalog/data-assets/thoughtspot-assets.md): Paradime ThoughtSpot Assets: Utilize ThoughtSpot data assets in dbt™ projects. Boost analytics with powerful search and insights.
- [Fivetran assets](/app-help/documentation/data-catalog/data-assets/fivetran-assets.md): Paradime Fivetran Assets: Manage Fivetran data assets within dbt™ projects. Ensure seamless data integration and management.
- [dbt™ assets](/app-help/documentation/data-catalog/data-assets/dbt-assets.md): Paradime dbt™ Assets: Centralize and manage dbt™ data assets efficiently. Ensure streamlined project workflows.
- [Classifications](/app-help/documentation/data-catalog/data-assets/dbt-assets/classifications.md): earn how to use dbt™ meta configurations to set up classifications that appear in the Paradime catalog for better data governance and searchability.
- [Lineage](/app-help/documentation/data-catalog/lineage.md): Paradime Lineage: Visualize and interact with your dbt™ data lineage for better understanding and management. Navigate dependencies across your entire data stack.
- [Search and Discovery](/app-help/documentation/data-catalog/lineage/search-and-discovery.md): Paradime Data Catalog Search: Discover and manage dbt™ data assets easily. Enhance data accessibility with powerful search tools.
- [Filters and Nodes interaction](/app-help/documentation/data-catalog/lineage/filters-and-nodes-interaction.md): Paradime Filters & Nodes: Enhance dbt™ lineage analysis with advanced filters and node interactions. Gain deeper data insights.
- [Nodes navigation](/app-help/documentation/data-catalog/lineage/nodes-navigation.md): Paradime Nodes Navigation: Efficiently navigate through dbt™ project nodes. Ensure comprehensive understanding of data lineage.
- [Canvas interactions](/app-help/documentation/data-catalog/lineage/canvas-interactions.md): Paradime Canvas Interactions: Interact with dbt™ lineage on a dynamic canvas. Enhance visualization and analysis.
- [Compare Lineage version](/app-help/documentation/data-catalog/lineage/compare-lineage-version.md): Paradime Lineage Comparison: Compare different versions of dbt™ data lineage. Track changes and ensure data consistency.
- [Integrations](/app-help/documentation/integrations.md)
- [CI/CD](/app-help/documentation/integrations/ci-cd.md)
- [GitHub](/app-help/documentation/integrations/ci-cd/github.md): Paradime GitHub Integration: continous integration to run and test dbt™ models at each pull request to prevent production pipeline failure.
- [Spectacles](/app-help/documentation/integrations/ci-cd/spectacles.md): Deploy LookML with confidence. Spectacles is a continuous integration (CI) tool that automatically tests LookML to ensure Looker runs smoothly.
- [Code IDE](/app-help/documentation/integrations/code-ide.md)
- [Cube CLI](/app-help/documentation/integrations/code-ide/cube-cli.md)
- [dbt™️ generator](/app-help/documentation/integrations/code-ide/dbt-generator.md): dbt™ Generator in Paradime: Generate dbt™ models at scale with Paradime's dbt™ Generator CLI for automatic project creation, enhancing setup and efficiency.
- [Prettier](/app-help/documentation/integrations/code-ide/prettier.md): Learn how Paradime integrates with Prettier to automatically format your dbt™ YAML files.
- [Harlequin](/app-help/documentation/integrations/code-ide/harlequin.md): Paradime Harlequin Integration: use the SQL IDE for DuckDB to easily query and explore data.
- [SQLFluff](/app-help/documentation/integrations/code-ide/sql-fluff.md): Learn how Paradime integrates with SQLFluff to automatically lint and format your dbt™ SQL files.
- [Rainbow CSV](/app-help/documentation/integrations/code-ide/rainbow-csv.md): Rainbow CSV is an extension designed to enhance CSV file readability and management within your dbt™ project
- [Mermaid](/app-help/documentation/integrations/code-ide/mermaid-js.md): Learn how to use Mermaid in Paradime to create diagrams that document your dbt projects. Create ERDs, workflows, and architecture diagrams using code.
- [Architecture Diagrams](/app-help/documentation/integrations/code-ide/mermaid-js/architecture-diagrams.md): Visualize cloud deployments, data pipelines, and system integrations with Mermaid's architecture diagrams. Ideal for documenting services, resources, and interactions.
- [Block Diagrams](/app-help/documentation/integrations/code-ide/mermaid-js/block-diagrams.md): Design block diagrams with precise layouts, detailed connections, and varied block shapes to represent systems and processes effectively.
- [Class Diagrams](/app-help/documentation/integrations/code-ide/mermaid-js/class-diagrams.md): Document data structures, relationships, and transformation logic with Mermaid's class diagrams. Ideal for analytics engineers visualizing data models and architectures.
- [Entity Relationship Diagrams](/app-help/documentation/integrations/code-ide/mermaid-js/entity-relationship-diagrams.md): Visualize database structures and relationships with Mermaid's ERDs. Perfect for documenting data models, table relationships, and schemas for analytics engineering.
- [Gantt Diagrams](/app-help/documentation/integrations/code-ide/mermaid-js/gantt-diagrams.md): Plan and track project timelines with Mermaid's Gantt diagrams. Ideal for scheduling data pipeline releases, managing model updates, and visualizing task dependencies.
- [GitGraph Diagrams](/app-help/documentation/integrations/code-ide/mermaid-js/gitgraph-diagrams.md): Visualize Git workflows with Mermaid's GitGraph diagrams. Ideal for documenting feature development, release processes, data pipeline versioning, and team collaboration.
- [Mindmaps](/app-help/documentation/integrations/code-ide/mermaid-js/mindmaps.md): Organize ideas hierarchically with Mermaid's mind maps. Perfect for brainstorming, planning, or documenting data workflows using flexible node shapes and styles.
- [Pie Chart Diagrams](/app-help/documentation/integrations/code-ide/mermaid-js/pie-chart-diagrams.md): Master creating Mermaid pie charts to visualize data distributions, proportions, and breakdowns with customizable labels, titles, and precise value displays.
- [Quadrant Charts](/app-help/documentation/integrations/code-ide/mermaid-js/quadrant-charts.md): Learn to use quadrant charts in Mermaid to classify data and identify trends across four quadrants with customizable axes and points.
- [Requirement Diagrams](/app-help/documentation/integrations/code-ide/mermaid-js/requirement-diagrams.md): Create requirement diagrams to map requirements, trace relationships, and visualize dependencies in engineering or system designs.
- [Sankey Diagrams](/app-help/documentation/integrations/code-ide/mermaid-js/sankey-diagrams.md): Learn to create dynamic Sankey diagrams in Mermaid for visualizing flows, relationships, and proportional values in processes like resource and energy flow.
- [Sequence Diagrams](/app-help/documentation/integrations/code-ide/mermaid-js/sequence-diagrams.md): Visualize process interactions and their sequence with Mermaid's sequence diagrams, showcasing roles, messages, and loops dynamically.
- [State Diagrams](/app-help/documentation/integrations/code-ide/mermaid-js/state-diagrams.md): Build state diagrams in Mermaid to illustrate transitions, composite states, concurrency, and workflows in systems or applications.
- [Timeline Diagrams](/app-help/documentation/integrations/code-ide/mermaid-js/timeline-diagrams.md): Create stunning timeline visualizations in Mermaid to showcase event sequences, history, and milestones with clear and customizable designs.
- [User Journey Diagrams](/app-help/documentation/integrations/code-ide/mermaid-js/user-journey-diagrams.md): Learn how to craft user journey diagrams in Mermaid to visualize user experiences, interactions, and workflows for applications or systems.
- [XY Chart](/app-help/documentation/integrations/code-ide/mermaid-js/xy-chart.md): Master creating XY charts in Mermaid for representing bar and line graphs with custom axes, themes, and orientations for data analysis.
- [ZenUML](/app-help/documentation/integrations/code-ide/mermaid-js/zenuml.md): Discover ZenUML syntax for sequence diagrams in Mermaid, offering powerful features like nesting, parallel actions, and conditional paths.
- [pre-commit](/app-help/documentation/integrations/code-ide/pre-commit.md): Pre-commit hooks are automated checks that run before code is committed, catching issues early and maintaining consistent code quality in your dbt™️ project
- [Paradime Setup and Configuration](/app-help/documentation/integrations/code-ide/pre-commit/paradime-setup-and-configuration.md): Easily set up pre-commit hooks using the app panel or 'paradime pre-commit' command. Run checks on all files or only staged changes in your dbt™️ project
- [dbt™️-checkpoint hooks](/app-help/documentation/integrations/code-ide/pre-commit/dbt-tm-checkpoint-hooks.md): dbt™️-checkpoint provides pre-commit hooks for dbt™️ projects, enforcing standards for model properties, tests, and documentation.
- [dbt™️ Model checks](/app-help/documentation/integrations/code-ide/pre-commit/dbt-tm-checkpoint-hooks/dbt-tm-model-checks.md): pre-commit hooks for dbt™️ model validation ensure consistent properties, tests, and documentation. Check model names, dependencies, and column descriptions before committing changes
- [dbt™️ Script checks](/app-help/documentation/integrations/code-ide/pre-commit/dbt-tm-checkpoint-hooks/dbt-tm-script-checks.md): Pre-commit hooks for dbt™️ script validation enforce SQL formatting, syntax standards, and best practices. Check query structure, indentation, and coding style to maintain consistent SQL quality.
- [dbt™️ Source checks](/app-help/documentation/integrations/code-ide/pre-commit/dbt-tm-checkpoint-hooks/dbt-tm-source-checks.md): Pre-commit hooks for dbt™️ source validation verify table references, freshness checks, and documentation. Ensure source configurations are complete and accurate before committing changes.
- [dbt™️ Macro checks](/app-help/documentation/integrations/code-ide/pre-commit/dbt-tm-checkpoint-hooks/dbt-tm-macro-checks.md): Pre-commit hooks for dbt™️ macro validation ensure proper documentation, references, and naming conventions. Verify macro definitions and arguments before committing changes.
- [dbt™️ Modifiers](/app-help/documentation/integrations/code-ide/pre-commit/dbt-tm-checkpoint-hooks/dbt-tm-modifiers.md): Pre-commit hooks for dbt™️ modifiers validate configuration changes, materialization settings, and model modifications. Ensure proper configuration syntax before committing changes.
- [dbt™️ commands](/app-help/documentation/integrations/code-ide/pre-commit/dbt-tm-checkpoint-hooks/dbt-tm-commands.md): Pre-commit hooks for dbt™️ commands validate CLI operations, run history, and operation order. Ensure proper command syntax and dependencies before executing dbt™️ operations.
- [dbt™️ checks](/app-help/documentation/integrations/code-ide/pre-commit/dbt-tm-checkpoint-hooks/dbt-tm-checks.md): Pre-commit hooks for dbt™️ validate models, sources, macros, and configs. Ensure consistent standards and best practices across your dbt™️ project.
- [SQLFluff hooks](/app-help/documentation/integrations/code-ide/pre-commit/sqlfluff-hooks.md): Pre-commit hooks for SQLFluff validate SQL formatting, lint code for errors, and enforce consistent style standards. Customize rules to match your team's SQL best practices.
- [Prettier hooks](/app-help/documentation/integrations/code-ide/pre-commit/prettier-hooks.md): Pre-commit hooks for Prettier automatically format code and maintain consistent style. Enforce standardized formatting across JavaScript, TypeScript, YAML, and other file types.
- [Google Docs](/app-help/documentation/integrations/code-ide/google-docs.md): Connect Google Docs to Paradime to import specs and documentation directly into DinoAI. Extract content, generate dbt model requirements, and turn documents into actionable development work.
- [Google Sheets](/app-help/documentation/integrations/code-ide/google-sheets.md): Connect Google Sheets to Paradime to import specs and documentation directly into DinoAI. Extract content, generate dbt model requirements, and turn documents into actionable development work.
- [Google Drive](/app-help/documentation/integrations/code-ide/google-drive.md): Connect Google Driver to Paradime to search and fetch Sheets and Docs files directly into DinoAI. Extract content, generate dbt model requirements, and turn documents into actionable development work.
- [Confluence Cloud](/app-help/documentation/integrations/code-ide/confluence-cloud.md): 14:51Connect Confluence to Paradime to import specs and documentation directly into DinoAI. Supports both Confluence Cloud and Data Center.
- [Confluence Data Center](/app-help/documentation/integrations/code-ide/confluence-data-center.md): 14:51Connect Confluence to Paradime to import specs and documentation directly into DinoAI. Supports both Confluence Cloud and Data Center.
- [Jira Cloud](/app-help/documentation/integrations/code-ide/jira-cloud.md): Connect Jira Cloud to Paradime to access tickets and issue details directly from DinoAI. Supports both — extract requirements, resolve bugs, and implement features without the Paradime IDE.
- [Jira Data Center](/app-help/documentation/integrations/code-ide/jira-data-center.md): Connect Jira Data Center to Paradime to access tickets and issue details directly from DinoAI. Supports both — extract requirements, resolve bugs, and implement features without the Paradime IDE.
- [Linear](/app-help/documentation/integrations/code-ide/linear.md): Linear: Connect Linear to Paradime to access issues and requirements directly from DinoAI. Extract acceptance criteria, implement features, and resolve bugs — all without leaving the Paradime IDE.
- [Notion](/app-help/documentation/integrations/code-ide/notion.md): Connect Notion to Paradime so DinoAI can search workspace pages, read content and comments, and turn team docs into actionable development work.
- [Dashboards](/app-help/documentation/integrations/dashboards.md)
- [Lightdash](/app-help/documentation/integrations/dashboards/lightdash.md): Develop and deploy Lightdash metrics directly within Paradime.
- [Looker](/app-help/documentation/integrations/dashboards/looker.md): Paradime Looker Integration: Extend lineage from dbt™ to Looker dashboard and easily troubleshoot pipelines for seamless data workflows.
- [Metabase](/app-help/documentation/integrations/dashboards/metabase.md): Paradime Metabase Integration: Extend lineage from dbt™ to Metabase dashboards and questions and easily troubleshoot pipelines for seamless data workflows.
- [Power BI](/app-help/documentation/integrations/dashboards/power-bi.md): Paradime Power BI: Extend lineage from dbt™ to Power BI dashboard and easily troubleshoot pipelines for seamless data workflows.
- [Sigma](/app-help/documentation/integrations/dashboards/sigma.md): Paradime Sigma Integration: Extend lineage from dbt™ to Sigma Workbooks and easily troubleshoot pipelines for seamless data workflows.
- [Tableau](/app-help/documentation/integrations/dashboards/tableau.md): Paradime Tableau Cloud Integration: Extend lineage from dbt™ to Tableau dashboard and easily troubleshoot pipelines for seamless data workflows.
- [ThoughtSpot (Beta)](/app-help/documentation/integrations/dashboards/thoughtspot.md): Paradime ThoughtSpot Integration: Sync dbt™ models with ThoughtSpot to auto-create worksheets and enhance analytics.
- [ETL](/app-help/documentation/integrations/etl.md)
- [Airbyte Cloud](/app-help/documentation/integrations/etl/airbyte-cloud.md): Trigger Airbyte syncs and run dbt™  transformations automatically with Paradime Bolt integration.
- [Airbyte Server](/app-help/documentation/integrations/etl/airbyte-server.md): Trigger Airbyte syncs and run dbt™  transformations automatically with Paradime Bolt integration.
- [Fivetran](/app-help/documentation/integrations/etl/fivetran.md): Paradime Fivetran Integration: Extend lineage from dbt™ to Fivetran connectors to increase visibility across pipeline
- [Observability](/app-help/documentation/integrations/observability.md)
- [Elementary Data](/app-help/documentation/integrations/observability/elementary-data.md): Paradime Elementary Data: Integrate with Paradime to monitor dbt™ models and pipelines, offering out-of-the-box data observability.
- [Anomaly Detection Tests](/app-help/documentation/integrations/observability/elementary-data/anomaly-detection-tests.md): Elementary Data - Anomaly Detection: Implement anomaly detection tests for dbt™ projects in Paradime. Ensure data accuracy and reliability.
- [Anomaly tests parameters](/app-help/documentation/integrations/observability/elementary-data/anomaly-detection-tests/anomaly-tests-parameters.md): Elementary Data - Anomaly Test Parameters: Configure parameters for anomaly detection in dbt™ projects. Enhance data quality and accuracy.
- [Volume anomalies](/app-help/documentation/integrations/observability/elementary-data/anomaly-detection-tests/volume-anomalies.md): Elementary Data | Volume Anomalies: Detect and manage volume anomalies in dbt™ projects using Paradime. Ensure data consistency and reliability.
- [Freshness anomalies](/app-help/documentation/integrations/observability/elementary-data/anomaly-detection-tests/freshness-anomalies.md): Elementary Data - Freshness Anomalies: Identify and address freshness anomalies in dbt™ projects with Paradime. Ensure timely and accurate data.
- [Event freshness anomalies](/app-help/documentation/integrations/observability/elementary-data/anomaly-detection-tests/event-freshness-anomalies.md): Elementary Data - Event Freshness: Detect event freshness anomalies in dbt™ projects with Paradime. Ensure event data accuracy and timeliness.
- [Dimension anomalies](/app-help/documentation/integrations/observability/elementary-data/anomaly-detection-tests/dimension-anomalies.md): Elementary Data - Dimension Anomalies: Identify and manage dimension anomalies in dbt™ projects using Paradime. Ensure data accuracy and quality.
- [All columns anomalies](/app-help/documentation/integrations/observability/elementary-data/anomaly-detection-tests/all-columns-anomalies.md): Elementary Data - All Columns Anomalies: Detect anomalies across all columns in dbt™ projects with Paradime. Enhance data observability and quality.
- [Column anomalies](/app-help/documentation/integrations/observability/elementary-data/anomaly-detection-tests/column-anomalies.md): Elementary Data - Column Anomalies: Identify and address column anomalies in dbt™ projects using Paradime. Ensure data accuracy and consistency.
- [Schema Tests](/app-help/documentation/integrations/observability/elementary-data/schema-tests.md): Elementary Data - Schema Tests: Implement schema tests for dbt™ projects in Paradime. Ensure data integrity and consistency.
- [Schema changes](/app-help/documentation/integrations/observability/elementary-data/schema-tests/schema-changes.md): Elementary Data Schema Changes: Track and manage schema changes in dbt™ projects with Paradime. Ensure accurate and consistent data schemas.
- [Schema changes from baseline](/app-help/documentation/integrations/observability/elementary-data/schema-tests/schema-changes-from-baseline.md): Elementary Data - Schema Baseline: Compare schema changes from baseline in dbt™ projects using Paradime. Ensure data integrity and accuracy.
- [Sending alerts](/app-help/documentation/integrations/observability/elementary-data/sending-alerts.md): Paradime Alerts: Set up and manage alerts for dbt™ projects. Stay informed of important events and anomalies.
- [Datadog alerts](/app-help/documentation/integrations/observability/elementary-data/sending-alerts/datadog-alerts.md): Learn how to set up Datadog alerts with Elementary to monitor dbt data quality issues, test failures, and model errors — and route them as structured incidents directly to your Datadog dashboard.
- [Copy of Datadog alerts](/app-help/documentation/integrations/observability/elementary-data/sending-alerts/copy-of-datadog-alerts.md): Learn how to set up Datadog alerts with Elementary to monitor dbt data quality issues, test failures, and model errors — and route them as structured incidents directly to your Datadog dashboard.
- [Slack alerts](/app-help/documentation/integrations/observability/elementary-data/sending-alerts/slack-alerts.md): Paradime Slack Alerts: Set up and manage alerts for dbt™ projects. Stay informed of important events and anomalies.
- [Microsoft Teams alerts](/app-help/documentation/integrations/observability/elementary-data/sending-alerts/microsoft-teams-alerts.md): Paradime Teams Alerts: Set up Microsoft Teams alerts for dbt™ projects using Paradime. Enhance communication and issue tracking.
- [Alerts Configuration and Customization](/app-help/documentation/integrations/observability/elementary-data/sending-alerts/alerts-configuration-and-customization.md): Alert Customization in Paradime: Configure and customize alerts for dbt™ projects in Paradime. Ensure tailored notifications and management.
- [Generate observability report](/app-help/documentation/integrations/observability/elementary-data/generate-observability-report.md): Observability Report: Generate detailed observability reports for dbt™ projects in Paradime. Ensure comprehensive data insights.
- [CLI commands and usage](/app-help/documentation/integrations/observability/elementary-data/cli-commands-and-usage.md): Generate Elementary data quality reports and alerts in Paradime using Elementary CLI integration with dbt™ - customize monitoring with flexible configuration options.
- [Monte Carlo](/app-help/documentation/integrations/observability/monte-carlo.md): Learn how to integrate Monte Carlo with Paradime to monitor dbt models, detect data incidents, and enhance data pipeline reliability with step-by-step setup instructions and best practices.
- [Incident Management](/app-help/documentation/integrations/incident-management.md)
- [Datadog](/app-help/documentation/integrations/incident-management/datadog.md): Set up Datadog integration with Paradime to receive automated alerts for Bolt Pipeline Errors
- [incident.io](/app-help/documentation/integrations/incident-management/incident.io.md): Set up indicent.io integration with Paradime to receive automated alerts for Bolt Pipeline Errors
- [New Relic](/app-help/documentation/integrations/incident-management/new-relic.md): Set up New Relic integration with Paradime to receive automated alerts for Bolt Pipeline Errors
- [PagerDuty](/app-help/documentation/integrations/incident-management/pagerduty.md): Set up PagerDuty integration with Paradime to receive automated alerts for Bolt Pipeline Errors
- [Notifications](/app-help/documentation/integrations/notifications.md)
- [Microsoft Teams](/app-help/documentation/integrations/notifications/microsoft-teams.md): Paradime Microsoft Teams Integration: enables teams to receive alerts about dbt data pipeline status, model performance, and system alerts.
- [Slack](/app-help/documentation/integrations/notifications/slack.md): Paradime Slack Integration: Get notifications for dbt™ runs in any Slack channel for real-time updates.
- [Reverse ETL](/app-help/documentation/integrations/reverse-etl.md)
- [Hightouch](/app-help/documentation/integrations/reverse-etl/hightouch.md): Paradime Hightouch Integration: automatically sync data using Hightouch as soon as dbt™ pipelines have transformed raw data.
- [Storage](/app-help/documentation/integrations/storage.md)
- [Amazon S3](/app-help/documentation/integrations/storage/amazon-s3.md): Paradime Amazon S3 Integration: Integrate with Amazon S3 to store dbt™ run logs in your AWS S3 bucket.
- [Snowflake Storage](/app-help/documentation/integrations/storage/snowflake-storage.md): Paradime Snowflake Storage Integration: Extract and query your dbt™ logs directly from Snowflake for better insights.
- [Security](/app-help/documentation/security.md)
- [Single Sign On (SSO)](/app-help/documentation/security/single-sign-on.md): Paradime Single Sign On (SSO): Introduction to setting up single sign-on for dbt™ projects. Simplify user authentication and access management.
- [Microsoft Entra ID (formerly Azure AD)](/app-help/documentation/security/single-sign-on/azure-ad-sso.md): Azure AD SSO: Set up SSO with Azure AD for Paradime and dbt™ projects. Enhance user authentication and access control.
- [Google SAML SSO](/app-help/documentation/security/single-sign-on/google-saml-sso.md): Google SAML SSO: Configure SAML SSO with Google for Paradime and dbt™ projects. Simplify user login and access management.
- [JumpCloud SSO](/app-help/documentation/security/single-sign-on/jumpcloud-sso.md): JumpCloud SSO: Integrate JumpCloud SSO for Paradime and dbt™ projects. Enhance user authentication and access control.
- [Okta SSO](/app-help/documentation/security/single-sign-on/okta-sso.md): Okta SSO: Configure Okta SSO for Paradime and dbt™ projects. Ensure secure and seamless user authentication.
- [Google SSO](/app-help/documentation/security/single-sign-on/google-sso.md): This short guide explains the process of login into Paradime using Google SSO
- [Audit Logs](/app-help/documentation/security/audit-logs.md): Audit Logs: Monitor and review audit logs for dbt™ projects in Paradime. Ensure accountability and security.
- [Security model](/app-help/documentation/security/security-model.md): Paradime Security Model: Overview of the security model for dbt™ projects. Ensure robust security and compliance.
- [Privacy model](/app-help/documentation/security/privacy-model.md): Paradime Privacy Model: Understand the privacy model for dbt™ projects. Ensure data protection and privacy compliance.
- [FAQs](/app-help/documentation/security/faqs.md): Paradime Security FAQs: Common questions and answers about security for dbt™ projects. Ensure comprehensive understanding of security practices.
- [Settings](/app-help/documentation/settings.md)
- [Workspaces](/app-help/documentation/settings/workspaces.md): Manage multiple workspaces in Paradime: Enhance your dbt™ project management by leveraging multi-workspaces for organized and efficient workflows.
- [Git Repositories](/app-help/documentation/settings/git-repositories.md): Manage Git repositories for your dbt™ projects in Paradime.
- [Importing a repository](/app-help/documentation/settings/git-repositories/importing-a-repository.md): Learn how to import Git repositories into Paradime using any valid Git URL.
- [Azure DevOps](/app-help/documentation/settings/git-repositories/importing-a-repository/azure-devops.md): Azure DevOps Import with Paradime: Import dbt™ project repositories from Azure DevOps into Paradime. Enhance project management and integration.
- [BitBucket](/app-help/documentation/settings/git-repositories/importing-a-repository/bitbucket.md): BitBucket Import: Integrate BitBucket repositories for dbt™ projects into Paradime. Simplify project management and collaboration.
- [GitHub](/app-help/documentation/settings/git-repositories/importing-a-repository/github.md): GitHub Import: Import GitHub repositories for dbt™ projects into Paradime. Enhance project management and collaboration.
- [GitLab](/app-help/documentation/settings/git-repositories/importing-a-repository/gitlab.md): GitLab Import: Import GitLab repositories for dbt™ projects into Paradime. Streamline project setup and management.
- [Update connected git repository](/app-help/documentation/settings/git-repositories/update-connected-git-repository.md): Update Git Repository - Manage and update connected Git repositories for dbt™ projects in Paradime.
- [Connections](/app-help/documentation/settings/connections.md): Paradime Data Warehouse: Connect and manage data warehouses for dbt™ projects. Ensure seamless data integration and management.
- [Code IDE environment](/app-help/documentation/settings/connections/development-environment.md): Paradime Development Environment: Set up and manage development environments for dbt™ projects. Enhance testing and development workflows.
- [Amazon Athena](/app-help/documentation/settings/connections/development-environment/amazon-athena.md): Integrate Amazon Athena with Paradime to enable dbt™ development
- [BigQuery](/app-help/documentation/settings/connections/development-environment/bigquery.md): Paradime BigQuery Connection: Integrate BigQuery with Paradime for dbt™ projects. Ensure efficient data querying and management.
- [Clickhouse](/app-help/documentation/settings/connections/development-environment/clickhouse.md): Integrate ClickHouse with Paradime to enable dbt™ development
- [Databricks](/app-help/documentation/settings/connections/development-environment/databricks.md): Paradime Databricks Connection: Connect Databricks with Paradime for dbt™ projects. Enhance data processing and analytics capabilities.
- [Dremio](/app-help/documentation/settings/connections/development-environment/dremio.md): Integrate Dremo with Paradime to enable dbt™ development
- [DuckDB](/app-help/documentation/settings/connections/development-environment/duckdb.md): Paradime DuckDB & MotherDuck: Connect DuckDB and MotherDuck with Paradime for dbt™ projects. Ensure seamless data integration.
- [Firebolt](/app-help/documentation/settings/connections/development-environment/firebolt.md): Paradime Firebolt Connection: Integrate Firebolt with Paradime for dbt™ projects. Optimize data querying and management.
- [Microsoft Fabric](/app-help/documentation/settings/connections/development-environment/microsoft-fabric.md): Integrate Microsoft Fabric with Paradime to enable dbt™ development
- [Microsoft SQL Server](/app-help/documentation/settings/connections/development-environment/microsoft-sql-server.md): Integrate SQL Server with Paradime to enable dbt™ development
- [MotherDuck](/app-help/documentation/settings/connections/development-environment/motherduck.md): Paradime DuckDB & MotherDuck: Connect DuckDB and MotherDuck with Paradime for dbt™ projects. Ensure seamless data integration.
- [PostgreSQL](/app-help/documentation/settings/connections/development-environment/postgresql.md): Integrate PostgreSQL with Paradime to enable dbt™ development
- [Redshift](/app-help/documentation/settings/connections/development-environment/redshift.md): Paradime Redshift Connection: Integrate Redshift with Paradime for dbt™ projects. Enhance data management and querying.
- [Snowflake](/app-help/documentation/settings/connections/development-environment/snowflake.md): Paradime Snowflake Connection: Connect Snowflake with Paradime for dbt™ projects. Ensure efficient data management and querying.
- [Starburst/Trino](/app-help/documentation/settings/connections/development-environment/starburst-trino.md): Integrate Trino with Paradime to enable dbt™ development
- [Scheduler environment](/app-help/documentation/settings/connections/scheduler-environment.md): Paradime Production Environment: Manage production environments for dbt™ projects. Ensure reliable and secure project deployment.
- [Amazon Athena](/app-help/documentation/settings/connections/scheduler-environment/amazon-athena.md): Integrate Amazon Athena with Paradime to enables deploying dbt™ in production with Bolt
- [BigQuery](/app-help/documentation/settings/connections/scheduler-environment/bigquery.md): Integrate Bigquery with Paradime to enables deploying dbt™ in production with Bolt
- [Clickhouse](/app-help/documentation/settings/connections/scheduler-environment/clickhouse.md): Integrate Clickhouse with Paradime to enables deploying dbt™ in production with Bolt
- [Databricks](/app-help/documentation/settings/connections/scheduler-environment/databricks.md): Integrate Databricks with Paradime to enables deploying dbt™ in production with Bolt
- [Dremio](/app-help/documentation/settings/connections/scheduler-environment/dremio.md): Integrate Dremio with Paradime to enables deploying dbt™ in production with Bolt
- [DuckDB](/app-help/documentation/settings/connections/scheduler-environment/duckdb.md): Integrate Duckdb with Paradime to enables deploying dbt™ in production with Bolt
- [Firebolt](/app-help/documentation/settings/connections/scheduler-environment/firebolt.md): Integrate Firebolt with Paradime to enables deploying dbt™ in production with Bolt
- [Microsoft Fabric](/app-help/documentation/settings/connections/scheduler-environment/microsoft-fabric.md): Integrate Microsoft Fabric with Paradime to enables deploying dbt™ in production with Bolt
- [Microsoft SQL Server](/app-help/documentation/settings/connections/scheduler-environment/microsoft-sql-server.md): Integrate Microsoft SQL Server with Paradime to enables deploying dbt™ in production with Bolt
- [MotherDuck](/app-help/documentation/settings/connections/scheduler-environment/motherduck.md): Integrate MotherDuck with Paradime to enables deploying dbt™ in production with Bolt
- [PostgreSQL](/app-help/documentation/settings/connections/scheduler-environment/postgresql.md): Integrate PostgreSQL with Paradime to enables deploying dbt™ in production with Bolt
- [Redshift](/app-help/documentation/settings/connections/scheduler-environment/redshift.md): Integrate Amazon Redshift with Paradime to enables deploying dbt™ in production with Bolt
- [Snowflake](/app-help/documentation/settings/connections/scheduler-environment/snowflake.md): Integrate Snowflake with Paradime to enables deploying dbt™ in production with Bolt
- [Starburst/Trino](/app-help/documentation/settings/connections/scheduler-environment/starburst-trino.md): Integrate Starburst/Trino with Paradime to enables deploying dbt™ in production with Bolt
- [DinoAI Background Agent environment](/app-help/documentation/settings/connections/dinoai-background-agent-environment.md): Paradime Production Environment: Manage production environments for dbt™ projects. Ensure reliable and secure project deployment.
- [Amazon Athena](/app-help/documentation/settings/connections/dinoai-background-agent-environment/amazon-athena.md)
- [BigQuery](/app-help/documentation/settings/connections/dinoai-background-agent-environment/bigquery.md)
- [Clickhouse](/app-help/documentation/settings/connections/dinoai-background-agent-environment/clickhouse.md)
- [Databricks](/app-help/documentation/settings/connections/dinoai-background-agent-environment/databricks.md)
- [Dremio](/app-help/documentation/settings/connections/dinoai-background-agent-environment/dremio.md)
- [DuckDB](/app-help/documentation/settings/connections/dinoai-background-agent-environment/duckdb.md): Integrate Duckdb with Paradime to enables deploying dbt™ in production with Bolt
- [Firebolt](/app-help/documentation/settings/connections/dinoai-background-agent-environment/firebolt.md)
- [Microsoft Fabric](/app-help/documentation/settings/connections/dinoai-background-agent-environment/microsoft-fabric.md)
- [Microsoft SQL Server](/app-help/documentation/settings/connections/dinoai-background-agent-environment/microsoft-sql-server.md)
- [MotherDuck](/app-help/documentation/settings/connections/dinoai-background-agent-environment/motherduck.md)
- [PostgreSQL](/app-help/documentation/settings/connections/dinoai-background-agent-environment/postgresql.md)
- [Redshift](/app-help/documentation/settings/connections/dinoai-background-agent-environment/redshift.md)
- [Snowflake](/app-help/documentation/settings/connections/dinoai-background-agent-environment/snowflake.md)
- [Starburst/Trino](/app-help/documentation/settings/connections/dinoai-background-agent-environment/starburst-trino.md)
- [Manage connections](/app-help/documentation/settings/connections/manage-connections.md): Manage Connections in Paradime: Oversee and configure data warehouse connections for dbt™ projects. Ensure seamless data integration.
- [Set alternative default connection](/app-help/documentation/settings/connections/manage-connections/set-alternative-default-connection.md): Alternative Default Connection: Configure alternative default connections for dbt™ projects. Enhance data management flexibility.
- [Delete connections](/app-help/documentation/settings/connections/manage-connections/delete-connections.md): Delete Connections: Remove data warehouse connections for dbt™ projects in Paradime. Keep your connections organized.
- [Cost connection](/app-help/documentation/settings/connections/cost-connection.md): Paradime Cost Connection: Manage and monitor data warehouse costs for dbt™ projects. Ensure budget control and efficiency.
- [BigQuery cost connection](/app-help/documentation/settings/connections/cost-connection/bigquery-cost-connection.md)
- [Snowflake cost connection](/app-help/documentation/settings/connections/cost-connection/snowflake-connection.md): Snowflake Cost Connection: Integrate Snowflake cost management with Paradime for dbt™ projects. Optimize budget and resource allocation.
- [Connection Security](/app-help/documentation/settings/connections/connection-security.md)
- [AWS PrivateLink](/app-help/documentation/settings/connections/connection-security/aws-privatelink.md): Paradime AWS PrivateLink: Securely connect AWS services with Paradime for dbt™ projects. Ensure private and secure data integration.
- [Snowflake PrivateLink](/app-help/documentation/settings/connections/connection-security/aws-privatelink/snowflake-privatelink.md): Snowflake PrivateLink: Configure secure Snowflake connections with Paradime for dbt™ projects using AWS PrivateLink. Enhance data security.
- [Redshift PrivateLink](/app-help/documentation/settings/connections/connection-security/aws-privatelink/redshift-privatelink.md): Redshift PrivateLink: Configure secure Redshift connections with Paradime for dbt™ projects using AWS PrivateLink. Enhance data security.
- [BigQuery OAuth](/app-help/documentation/settings/connections/connection-security/bigquery-oauth.md): BigQuery OAuth: Set up OAuth for secure BigQuery connections with Paradime for dbt™ projects. Ensure secure data access.
- [Snowflake OAuth](/app-help/documentation/settings/connections/connection-security/snowflake-oauth.md): Snowflake OAuth: Configure OAuth for secure Snowflake connections with Paradime for dbt™ projects. Enhance data security and access.
- [Optional connection attributes](/app-help/documentation/settings/connections/optional-connection-attributes.md): Unlock advanced control in Paradime with Optional connection attributes. This feature allows customization of your dbt profiles.yml within Paradime Environment settings.
- [Notifications](/app-help/documentation/settings/notifications.md)
- [dbt™](/app-help/documentation/settings/dbt.md)
- [Upgrade dbt Core™ version](/app-help/documentation/settings/dbt/upgrade-dbt-core-version.md): Upgrade dbt Core™: Guide to upgrading dbt Core™ versions in Paradime. Ensure your dbt™ projects are up-to-date.
- [Users](/app-help/documentation/settings/users.md): Paradime User Management: Oversee user access and roles for dbt™ projects. Simplify team management and collaboration.
- [Invite users](/app-help/documentation/settings/users/invite-users.md): Invite Users: Add new users to your Paradime workspace for dbt™ projects. Simplify collaboration and project management.
- [Manage Users](/app-help/documentation/settings/users/manage-users.md): Manage Users: Oversee user access and roles for dbt™ projects in Paradime. Ensure efficient team management.
- [Enable Auto-join](/app-help/documentation/settings/users/enable-auto-join.md): Auto-Join: Enable auto-join for users in Paradime workspace for dbt™ projects. Simplify user onboarding and collaboration.
- [Users and licences](/app-help/documentation/settings/users/users-and-licences.md): Users & Licences: Manage user access and licenses for dbt™ projects in Paradime. Ensure proper access control and resource allocation.
- [Default Roles and Permissions](/app-help/documentation/settings/users/roles-and-permissions.md): Roles & Permissions: Configure roles and permissions for dbt™ project users in Paradime. Ensure secure and efficient project management.
- [Role-based access control](/app-help/documentation/settings/users/role-based-access-control.md): Role-Based Access Control (RBAC) in Paradime: Implement role-based access control for dbt™ projects in Paradime. Enhance security and manage user permissions effectively.
- [Environment Variables](/app-help/documentation/settings/environment-variables.md): Paradime Environment Variables: Manage environment variables for your   Bolt schedules and Code IDE.
- [DinoAI Background Agent Environment Variables](/app-help/documentation/settings/environment-variables/dinoai-background-agent-environment-variables.md)
- [Bolt Schedules Environment Variables](/app-help/documentation/settings/environment-variables/bolt-schedule-env-variables.md): Bolt Schedule Variables: Configure environment variables for Bolt schedules   to manage runtime configs, secrets, and other settings.
- [Code IDE Environment Variables](/app-help/documentation/settings/environment-variables/code-ide-env-variables.md): Set up environment variables for use when running   dbt™, Python, and CLI commands in the Code IDE.
- [Developers](/app-help/developers.md)
- [GraphQL API](/app-help/developers/graphql-api.md)
- [Authentication](/app-help/developers/graphql-api/authentication.md)
- [Examples](/app-help/developers/graphql-api/examples.md)
- [Audit Logs API](/app-help/developers/graphql-api/examples/audit-logs-api.md)
- [Bolt API](/app-help/developers/graphql-api/examples/bolt-api.md)
- [User Management API](/app-help/developers/graphql-api/examples/user-management-api.md)
- [Workspace Management API](/app-help/developers/graphql-api/examples/workspace-management-api.md)
- [Python SDK](/app-help/developers/python-sdk.md)
- [Getting Started](/app-help/developers/python-sdk/getting-started.md)
- [Modules](/app-help/developers/python-sdk/modules.md)
- [Audit Log](/app-help/developers/python-sdk/modules/audit-log.md)
- [Bolt](/app-help/developers/python-sdk/modules/bolt.md): Use the Paradime Python SDK to manage Bolt schedules and runs—list schedules, trigger and cancel runs, inspect run status, and fetch dbt artifacts like manifest.json.
- [Lineage Diff](/app-help/developers/python-sdk/modules/lineage-diff.md)
- [Custom Integration](/app-help/developers/python-sdk/modules/custom-integration.md)
- [User Management](/app-help/developers/python-sdk/modules/user-management.md)
- [Workspace Management](/app-help/developers/python-sdk/modules/workspace-management.md)
- [Metadata](/app-help/developers/python-sdk/modules/metadata.md): Use the Paradime Python SDK Metadata module to query dbt™ artifacts and monitor model health, test results, source freshness, and lineage with DuckDB + polars.
- [Paradime CLI](/app-help/developers/paradime-cli.md)
- [Getting Started](/app-help/developers/paradime-cli/getting-started.md)
- [Bolt CLI](/app-help/developers/paradime-cli/bolt-cli.md)
- [Tableau CLI](/app-help/developers/paradime-cli/tableau-cli.md)
- [Microsoft Power BI CLI](/app-help/developers/paradime-cli/microsoft-power-bi-cli.md): Trigger Power BI dataset refreshes via CLI. Automate dashboard updates with Azure AD authentication."
- [Fivetran CLI](/app-help/developers/paradime-cli/fivetran-cli.md): Trigger Fivetran syncs and run dbt™  transformations automatically with Paradime Bolt integration.
- [Airbyte CLI](/app-help/developers/paradime-cli/airbyte-cli.md)
- [Webhooks](/app-help/developers/webhooks.md): Paradime Webhooks Overview: Introduction to managing webhook events for dbt™ projects. Streamline integration and automation.
- [Getting Started](/app-help/developers/webhooks/getting-started.md): Setup Paradime Webhooks: Configure webhooks for dbt™ project events. Ensure efficient event management and integration.
- [Custom Webhook Guides](/app-help/developers/webhooks/custom-webhook-guides.md): Paradime SaaS Integration: Connect dbt™ projects with other SaaS applications using webhooks for smoother automation and workflows.
- [Create an Azure DevOps Work item when a Bolt run complete with errors](/app-help/developers/webhooks/custom-webhook-guides/azure-devops.md): Azure DevOps Integration: Automate work item creation in Azure DevOps for dbt™ project errors. Ensure timely issue tracking and resolution with Paradime.
- [Create a Linear Issue when a Bolt run complete with errors](/app-help/developers/webhooks/custom-webhook-guides/linear-issue.md): Paradime Linear Integration: Automatically create Linear issues for dbt™ project errors. For better issue tracking and resolution.
- [Create a Jira Issue when a Bolt run complete with errors](/app-help/developers/webhooks/custom-webhook-guides/jira-issue.md): Paradime's Jira Integration: Generate Jira issues automatically for dbt™ project errors. For more efficient issue tracking and management.
- [Trigger a Slack notification when a Bolt run is overrunning](/app-help/developers/webhooks/custom-webhook-guides/slack-notification.md): Slack Notifications: Set up Slack alerts for dbt™ project overruns. Stay informed and manage issues promptly with Paradime Bolt.
- [Virtual Environments](/app-help/developers/virtual-environments.md)
- [Using Poetry](/app-help/developers/virtual-environments/using-poetry.md)
- [Troubleshooting](/app-help/developers/virtual-environments/troubleshooting.md)
- [API Keys](/app-help/developers/generate-api-keys.md): Generate API Keys in Paradime: Generate and manage API keys for dbt™ projects in Paradime. Ensure secure access and integration.
- [IP Restrictions in Paradime](/app-help/developers/ip-restrictions.md): IP Restrictions: Implement IP restrictions for dbt™ projects in Paradime. Enhance security and access control.
- [Company & Workspace token](/app-help/developers/company-and-workspace-token.md): Workspace Tokens: Manage company and workspace tokens for dbt™ projects in Paradime. Ensure secure and efficient access control.
- [Best Practices](/app-help/best-practices.md)
- [Data Mesh Setup](/app-help/best-practices/data-mesh-setup.md): Paradime enhances dbt™️ Mesh with cross-project dependencies, model groups, access control, graph lineage, and data discovery. Trigger dbt™️ runs in production and track column changes in your PRs.
- [Configure Project dependencies](/app-help/best-practices/data-mesh-setup/configure-project-dependencies.md): dbt™ Mesh enables managing dependencies by referencing models as APIs without importing them as packages.
- [Model access](/app-help/best-practices/data-mesh-setup/model-access.md): Configure model access in dbt™️ to control visibility across projects and groups. Use access modifiers in dbt\_project.yml or properties.yml. Define models as public or private to manage accessibility.
- [Model groups](/app-help/best-practices/data-mesh-setup/model-groups.md): Group models in dbt™️ to streamline collaboration and define ownership. Grouping allows for private model access within a team while making public models accessible across projects.
- [Troubleshooting](/app-help/troubleshooting.md)
- [Errors](/app-help/troubleshooting/errors.md): Paradime Errors: Troubleshoot and resolve errors in dbt™ projects. Ensure smooth project execution and management.
- [Error List](/app-help/troubleshooting/error-list.md): Paradime Error List: Comprehensive list of errors and solutions for dbt™ projects. Enhance troubleshooting and project management.
- [Restart Code IDE](/app-help/troubleshooting/restart-code-ide.md)
- [Other Links](/app-help/other-links.md)