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dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.

dbt is the T in ELT. Organize, cleanse, denormalize, filter, rename, and pre-aggregate the raw data in your warehouse so that it's ready for analysis.

The dbt-spark package contains all of the code enabling dbt to work with Apache Spark and Databricks. For more information, consult the docs.

• Install dbt
• Read the introduction and viewpoint

• Be part of the conversation in the dbt Community Slack
• Read more on the dbt Community Discourse

• Want to report a bug or request a feature? Let us know on Slack, or open an issue
• Want to help us build dbt? Check out the Contributing Guide

Everyone interacting in the dbt project's codebases, issue trackers, chat rooms, and mailing lists is expected to follow the dbt Code of Conduct.