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Serverless Data Processing with Dataflow - Advanced Streaming Analytics Pipeline with Cloud Dataflow (Java)

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Overview

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In this lab you read deal with late and malformed streaming data using advanced Apache Beam concepts.

Syllabus

  • Overview
  • Setup and requirements
  • Lab part 1. Dealing with late data
  • Task 1. Prepare the environment
  • Task 2. Set allowed lateness
  • Task 3. Set a trigger
  • Lab part 2. Dealing with malformed data
  • Task 1. Collect malformed data
  • Task 2. Make code more modular with a composite transform
  • Task 3. Write malformed data for later analysis
  • Task 4. Run your pipeline
  • Task 5. Test your pipeline
  • End your lab

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