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.

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Learn more about dbt Labs:
Website: www.getdbt.com
Twitter: @getdbt
LinkedIn: www.linkedin.com/company/dbtlabs

Connect with the presenters:
Bobby Birstock, Partner Engineer, dbt Labs
LinkedIn: www.linkedin.com/in/bobby-birstock

Hope Watson, Partner Engineer, dbt Labs
LinkedIn: www.linkedin.com/in/hopewatson


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