Getting Started with dbt on Dremio
Learn how to get started using dbt (data-build-tool) on Dremio’s Open Data Lakehouse by following along with this tutorial. In this video, you will learn how to install dbt core along with a preview of the latest dbt on Dremio connector plugin, initialize a new project, run an example dbt model and then publish your project to a GitHub repository.
What is Dbt?
dbt (data build tool) enables analytics engineers to transform data into Dremio by simply writing select statements. dbt handles turning these select statements into Dremio data sets that can then be used to run dashboards and BI directly from these new data sets.
dbt does the T in ELT (Extract, Load, Transform) processes – it doesn’t extract or load data, but it’s extremely good at transforming data that’s already loaded in your Dremio environment
Ready to Get Started? Here Are Some Resources to Help
Guides
What Is a Data Lakehouse?
The data lakehouse is a new architecture that combines the best parts of data lakes and data warehouses. Learn more about the data lakehouse and its key advantages.
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Whitepaper
Simplifying Data Mesh for Self-Service Analytics on an Open Data Lakehouse
The adoption of data mesh as a decentralized data management approach has become popular in recent years, helping teams overcome challenges associated with centralized data architecture.
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