Distributed Real Time Stream Processing - Why and How

Distributed Real Time Stream Processing - Why and How

Scala Days Conferences via YouTube Direct link

The Data Deluge

2 of 26

2 of 26

The Data Deluge

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Distributed Real Time Stream Processing - Why and How

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  1. 1 Intro
  2. 2 The Data Deluge
  3. 3 Distributed Stream Processing
  4. 4 Points of interest
  5. 5 Runtime and Programming Model
  6. 6 Native Streaming
  7. 7 Micro-batching
  8. 8 Apache Streaming Landscape
  9. 9 System Comparison
  10. 10 Fault Tolerance
  11. 11 Managing State
  12. 12 Counting Words Revisited
  13. 13 Performance
  14. 14 Project Maturity [Storm & Trident]
  15. 15 Project Maturity [Spark Streaming]
  16. 16 Project Maturity [Samza]
  17. 17 Project Maturity [Flink]
  18. 18 Summary
  19. 19 General Guidelines
  20. 20 Recommendations [Storm & Trident]
  21. 21 Recommendations [Spark Streaming]
  22. 22 Recommendations Samza
  23. 23 Recommendations [Apex]
  24. 24 Recommendations [Flink]
  25. 25 Dataflow and Apache Beam
  26. 26 Questions

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