From the course: Advanced Data Engineering with Snowflake

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Recap and best practices for DevOps with Snowflake

Recap and best practices for DevOps with Snowflake - Snowflake Tutorial

From the course: Advanced Data Engineering with Snowflake

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Recap and best practices for DevOps with Snowflake

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Let's recap everything that you learned about DevOps with Snowflake. By this point, you understand that DevOps is a collection of best practices that enable teams to easily collaborate, track their work, and deploy changes quickly and safely. There's more to it than that, but these are the practices that we explored in this module. For our purposes, we focused on how these practices are commonly realized through the use of collaborative tools, automated workflows, source control, and command-line tooling. We specifically centered on how these practices can be incorporated for data engineering and we implemented them directly into our pipeline. You also learned how Snowflake supports each of these aspects. For source control, you know Snowflake's Git integration makes it easy to keep track of changes to your pipeline. You also saw how Snowflake's declarative functionality, CREATE OR ALTER, makes it easy to incrementally iterate on database objects. Paired with source control, this is a…

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