Chapter 4Designing a Data Processing Solution

Google Cloud Professional Data Engineer Exam objectives covered in this chapter include the following:

  1. Designing data processing systems
    • ✔ 1.3 Designing a data processing solution. Considerations include:
      • Choice of infrastructure
      • System availability and fault tolerance
      • Use of distributed systems
      • Capacity planning
      • Hybrid cloud and edge computing
      • Architecture options (e.g., message brokers, message queues, middleware, service-oriented architecture, serverless functions)
      • At least once, in-order, and exactly once, etc., event processing
    • ✔ 1.4 Migrating data warehousing and data processing. Considerations include:
      • Awareness of current state and how to migrate a design to a future state
      • Migrating ...

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