Our DataMesh Journey - Data Architectures for Microservices

Our DataMesh Journey - Data Architectures for Microservices

Spring I/O via YouTube Direct link

Analytical BI

17 of 37

17 of 37

Analytical BI

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Classroom Contents

Our DataMesh Journey - Data Architectures for Microservices

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  1. 1 Introduction
  2. 2 Agenda
  3. 3 Context
  4. 4 The monolith
  5. 5 Splitting the monolith
  6. 6 Data sharing
  7. 7 Simple query
  8. 8 Good and bad things
  9. 9 Booking indexer
  10. 10 Public indexer
  11. 11 Booking engine
  12. 12 Query by ID
  13. 13 Learnings
  14. 14 Domain Events
  15. 15 Implementation details
  16. 16 Landing pages and bookings
  17. 17 Analytical BI
  18. 18 Data lakes
  19. 19 DataMesh
  20. 20 New Paradigm
  21. 21 Architecture Design Implementation
  22. 22 Budget
  23. 23 Rollout
  24. 24 Architecture
  25. 25 Data Loss
  26. 26 Data Loss Metrics
  27. 27 Feedback Loops
  28. 28 Questions
  29. 29 How to document domain events
  30. 30 Publishing events
  31. 31 How do you decide which data goes
  32. 32 Can I store this data
  33. 33 How do I know the state of the group
  34. 34 Single point of failure
  35. 35 Snapshots
  36. 36 Data persistence
  37. 37 Main events

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