Conclusion

1. Conclusion

I mentioned this in Introduction to Modern Data Engineering with Snowflake, and it's too important not to mention again. Much of your experience is going to come from putting your hands on the keyboard and tinkering with pipelines using the documentation, videos, tutorials, and more. This goes for both concepts covered in this course, DevOps and Observability. For DevOps, we covered cutting-edge features within Snowflake that allow teams to build declarative data pipelines that are able to respond quickly to constantly changing demands. You specifically learned how to use Create or Alter, Snowflake's Git integration, GitHub Actions, and Snowflake CLI to build a pipeline that can do this. For Observability, we covered Snowflake Trail, and you learned about the vast trove of information that you can capture and analyze about your data pipelines. This includes using event tables to capture logs and traces, and using alerts and notifications to prompt action on your team. Both of these topics build on and extend what you learned in the first course, and they will help you greatly level up your data pipelines as they scale. Go out and tinker with these concepts to see what you can build. I know that you can do it. I'm Gilberto Hernandez, Developer Advocate at Snowflake. Thanks for joining me and see you in future courses.

2. Let's practice!

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