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DBT DBT, or Data Build Tool, is a framework designed for managing and executing data transformations within modern data warehousing architectures. It facilitates the development and deployment of SQL-based transformations in a version-controlled environment, enabling collaboration and ensuring reproducibility of data pipelines. DBT streamlines the process of transforming raw data into analytics-ready datasets, accelerating the delivery of insights. A detailed walkthrough can be found in Firebolt’s DBT documentation.

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Prerequisites

You will need the following:
  • Python 3.9+.
  • dbt-core and dbt-firebolt>=1.10.0 Python packages installed.
  • Firebolt Core running locally.

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Connection

DBT uses a profiles.yml file to store the connection information. The usual place to create this file on Mac and Linux is ~/.dbt/profiles.yml. Here’s a minimal profiles.yml configuration needed to connect to Fireoblt Core: 
jaffle-shop:
target: core
outputs:
    core:
      type: firebolt
      url: "<core-url>"
      database: "<database-name>"
      schema: "<table-prefix>"
Replace the placeholders with your account’s information: <core-url> The url where Firebolt Core is running. If using a default local dockerised deployment then set this parameter to http://localhost::3473. <database-name> With your database in Firebolt Core. If you want to connect to the default database use firebolt here. <table-prefix> is a prefix prepended to your table names. Since Firebolt does not support custom schemas, this prefix serves as a workaround to prevent table name conflicts during concurrent development.

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Further reading

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