From the course: Build a No-Code ETL Pipeline with Google BigQuery

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From the course: Build a No-Code ETL Pipeline with Google BigQuery

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- [Instructor] Congratulations, you've completed the course on building no-code ETL pipelines in BigQuery. You've learned a lot of things. You've learned how to ingest, process, and visualize data using BigQuery and Looker Studio. And you've automated every step of the process. Moreover, you have gained foundational skills in data engineering. This is impressive, but it's just the beginning. So what's next? If you enjoyed this course and you want to continue expanding your data engineering skills, here are a few areas you might want to explore. First, advanced SQL in BigQuery. If you want more control over your data transformations, learning advanced SQL is the natural next step. With SQL, you'll be able to optimize your queries, join multiple data sets, and even create more complex aggregations and transformations. Building automations with Python. While this course focused on no-code solutions, many production-level pipelines are automated using Python. By integrating Python with…

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