Using dbt And Snowflake To Develop And Deploy Analytics Code | LAB

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. To learn even more, enroll in Snowflake's free Coursera course: https://www.coursera.org/learn/data-e... 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 Learn how to build your application on Snowflake: https://developers.snowflake.com Continue the conversation by joining the Snowflake Community: https://community.snowflake.com ❄Join our YouTube community❄ https://bit.ly/3lzfeeB"