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ETL Processing on Google Cloud Using Dataflow and BigQuery

Offered By: Google via Google Cloud Skills Boost

Tags

BigQuery Courses Data Warehousing Courses Google Cloud Platform (GCP) Courses Dataflow Courses Apache Beam Courses Data Transformation Courses Data Engineering Courses Cloud Storage Courses Data Pipelines Courses

Course Description

Overview

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In this lab you will build several Data Pipelines that will ingest data from a publicly available dataset into BigQuery.

Syllabus

  • GSP290
  • Overview
  • Setup
  • Task 1. Ensure that the Dataflow API is successfully enabled
  • Task 2. Download the starter code
  • Task 3. Create Cloud Storage Bucket
  • Task 4. Copy files to your bucket
  • Task 5. Create the BigQuery dataset
  • Task 6. Build a Dataflow pipeline
  • Task 7. Data ingestion
  • Task 8. Review pipeline python code
  • Task 9. Run the Apache Beam pipeline
  • Task 10. Data transformation
  • Task 11. Run the Apache Beam pipeline
  • Task 12. Data enrichment
  • Task 13. Review pipeline python code
  • Task 14. Run the Apache Beam pipeline
  • Task 15. Data lake to Mart
  • Task 16. Review pipeline python code
  • Task 17. Run the Apache Beam Pipeline
  • Test your understanding
  • Congratulations!

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