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Using dbt And Snowflake To Develop And Deploy Analytics Code | LAB
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dbt is a SQL-first transformation workflow that lets data teams quickly and collaboratively deploy analytics code following software engineering best practices such as modularity, portability, CI/CD, and documentation. It allows anyone on a data team to safely contribute to production-grade data pipelines. In this hands-on Quickstart workshop, Bobby Birstock and Hope Watson of dbt Labs guides participants through the process of building a fully functioning dbt project while making use of such best practices as data quality tests and code promotion between environments.
Learn more about dbt Labs:
Twitter: @getdbt
Connect with the presenters:
Bobby Birstock, Partner Engineer, dbt Labs
Hope Watson, Partner Engineer, dbt Labs
Learn how to build your application on Snowflake:
Continue the conversation by joining the Snowflake Community:
Learn more about dbt Labs:
Twitter: @getdbt
Connect with the presenters:
Bobby Birstock, Partner Engineer, dbt Labs
Hope Watson, Partner Engineer, dbt Labs
Learn how to build your application on Snowflake:
Continue the conversation by joining the Snowflake Community:
Using dbt And Snowflake To Develop And Deploy Analytics Code | LAB
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