1. Architectural tenet - why we need this?
  2. What is a data mesh?
    • General principles
      • How to query data
      • Realtime streaming analytics models
    • Distributed data sources
    • Maturities of data / business objects
      • General description
      • Labelling of objects
  3. GCP Project Setup
  4. Batch vs. Stream
  5. Technology radar
  6. BigQuery principles
  7. How we handle PII data
  8. Serverless as a core pillar
  9. Reference architecture patterns
  10. Fail fast, fix forward - way of working
  11. Microservices
    • Oauth2 Authentication
    • Error Handling
    • Shared Database
    • Logging
  12. Integration of Pipe-a-a-Service and Data Catalog
  13. IAM Setup