Skip to main content
Dremio is a lakehouse platform that enables high-performance SQL queries directly on data lake storage. Paradime supports connections to both Dremio Cloud and Dremio Software. As a scheduler environment in Paradime, Dremio enables deploying dbt™ in production with Bolt.
IP RESTRICTIONSMake sure to allow traffic from one of the Paradime IPs in your firewall depending on the data location selected.👉 See also: Paradime IP addresses.

Prerequisites

Dremio offers different authentication methods for Dremio Cloud and Dremio Software deployments. Choose the appropriate method and ensure complete their respective prerequisites.

Dremio Cloud

  • Access to a Dremio Cloud workspace
  • Access to the ID of the Sonar project you want to use. See Obtaining the ID of a Project.
  • A valid personal access token (PAT) for authenticating to Dremio Cloud. See Creating a Token.
  • Python 3.9 or later installed on the system that you are running dbt on.

Dremio Software

  • Dremio Software version 22.0 or later
  • Python 3.9 or later installed
  • Required support keys enabled in your Dremio cluster (See Support Keys docs for details)
    • dremio.iceberg.enabled
    • dremio.iceberg.ctas.enabled
    • dremio.execution.support_unlimited_splits

Setup Instructions

  1. Click Settings in the top menu bar of the Paradime interface to access Account Settings
  2. In the left sidebar, click “Connections
  3. Click “Add New” next to the Bolt Schedules section
  4. Select “Dremio
  5. In the Profile Configuration field, add the following parameters based on your authentication method. Reference the Profile Fields Reference section below for additional context and configurations:
After adding the configuration, ensure it’s properly formatted using a YAML formatter like YAML Formatter.
  1. Provide a dbt™ Profile Name (This should match with the profile name set in your dbt_project.yml).
  2. In the Target field, enter “prod”. This is the default target your dbt™ project will use for your Bolt Schedules.
  3. The “Threads” value is pre-configured to 1, but you can adjust this number to specify how many parallel operations your dbt project can run.

Example Profile Configuration


Profile Fields Reference