Build a data lakehouse with dbt Core and Dremio Cloud
Updated
Dremio
dbt Core
Intermediate
Menu
- 1 Introduction
- 2 Validate your environment
- 3 Getting started
- 4 Build your pipeline
- 5 About the schema.yml
- 6 About the models
- 7 The Job output
- 8 Query the data
Introduction
This guide will demonstrate how to build a data lakehouse with dbt Core 1.5 or newer and Dremio Cloud. You can simplify and optimize your data infrastructure with dbt's robust transformation framework and Dremio’s open and easy data lakehouse. The integrated solution empowers companies to establish a strong data and analytics foundation, fostering self-service analytics and enhancing business insights while simplifying operations by eliminating the necessity to write complex Extract, Transform, and Load (ETL) pipelines.
Prerequisites
- You must have a Dremio Cloud account.
- You must have Python 3 installed.
- You must have dbt Core v1.5 or newer installed.
- You must have the Dremio adapter 1.5.0 or newer installed and configured for Dremio Cloud.
- You must have basic working knowledge of Git and the command line interface (CLI).
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