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How to Use dbt on Dremio - A Step-by-Step Guide

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Are you looking for a tutorial on how to get started using dbt (data-build-tool) on Dremio's Open Data Lakehouse? This video will teach you exactly that! You'll learn how to install dbt core and the latest dbt on Dremio connector plugin, initialize a new project, run an example dbt model, and publish your project to a GitHub repository.

dbt (data build tool) is an analytics engineer's dream come true. It allows them to easily transform data into Dremio by writing select statements. All the heavy lifting of turning these select statements into Dremio data sets is done by dbt, so dashboards and BI can be run directly from these new data sets.

dbt is part of the ELT (Extract, Load, Transform) process – it doesn't extract or load data itself but is incredibly useful for transforming already loaded data in your Dremio environment. If you have a Data Warehouse or Data Lake set up with Dremio as the Data Lake Engine, then you can use the power of dbt to create powerful analytics solutions quickly and easily.

In this video tutorial, you'll learn exactly how to get started with dbt on Dremio's Open Data Lakehouse. You'll be guided step-by-step through installing dbt core and the latest connector plugin, initializing a new project, running an example model, and publishing your project to GitHub. With this knowledge under your belt, you'll be able to take advantage of all that dbt has to offer in terms of transforming your data into powerful analytics solutions quickly and easily.

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