Google Cloud Professional Data Engineer

Categories: Google Cloud
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About Course

Design and build data processing systems on Google Cloud: pipelines, storage and ML integration, for the Professional Data Engineer exam.

About 40 hours.

Course Content

Module 1: Data storage design

  • BigQuery fundamentals
  • Cloud Storage and Bigtable basics
  • Storage selection criteria

Module 2: Data pipelines

Module 3: Analysis and ML

Module 4: Exam preparation