Models Dashboard
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The Models Dashboard, part of Paradime's Radar suite, offers comprehensive insights into your dbt™ model performance and dependencies. This tool enables teams to effectively monitor, optimize, and make data-driven decisions to enhance their data pipeline's efficiency and reliability.
Prerequisites
Completed in Radar's Get Started guide.
The Models dashboard is divided into two main sections:
Overview: Provides a high-level summary of all models. [link]
Detailed: Offers in-depth analytics for individual models. [link]
The Overview section gives you a broad perspective on your dbt™ models' performance, allowing you to uncover key insights, including:
Value: Quickly identify time-intensive models and assess overall reliability to find efficiency gains.
Value: Understand the distribution of materialization types across your models to optimize resource usage and reduce costs.
Value: Pinpoint models that fail frequently to bolster reliability.
Value: Understand how models are utilized across different schedules.
The Detailed section allows you to dive deep into individual model performance, providing comprehensive insights such as:
Value: Analyze the consistency, reliability, and performance of individual models.
Value: Understand execution patterns and identify potential bottlenecks.
Value: Gain insights into the frequency and success of model executions over time.
Value: Get a comprehensive view of how the model is executed within different schedules.
Locate the "Select date range" and "Select a model" dropdown at the top of the dashboard.
Choose your desired date range and specific model for analysis.
The dashboard will automatically update to reflect your selections, allowing for focused analysis of specific models over your chosen time period.
