A favorite among data teams, dbt offers the ability to bring software engineering best practices and improved efficiency in SQL and Snowpark data transformation workflows right into Snowflake. Join Charlie Hammond for a quick tour showcasing the new dbt Projects on Snowflake (in public preview now).
Learn how to effortlessly:
--Compile and visualize your DAG
--Run all your dbt models
--Perform test runs for data quality
--Deploy and schedule your data pipelines
CHAPTER LINKS
00:00 - Introduction
00:42 - Demo scenario
01:34 - Introducing Workspaces
02:57 - dbt Projects Overview
05:27 - dbt Commands & view DAG
07:17 - Run, deploy, and schedule
09:22 - Orchestration, observability, and cost management
RESOURCES
To get started with dbt Projects on Snowflake, head over to Workspaces in Snowsight:
-- https://app.snowflake.com/_deeplink/#/workspaces
You can also access the Snowflake documentation here:
-- https://docs.snowflake.com/LIMITEDACCESS/dbt-projects-on-snowflake
Subscribe to this channel for more great content!
-- http://www.snowflake.com/YTsubscribe/
Explore sample code, download tools, and connect with peers:
-- https://developers.snowflake.com/
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