Mnemosyne - A Distributed Bitmapped Indexing Layer for Big Data

Mnemosyne - A Distributed Bitmapped Indexing Layer for Big Data

Devoxx via YouTube Direct link

Intro

1 of 28

1 of 28

Intro

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Mnemosyne - A Distributed Bitmapped Indexing Layer for Big Data

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  1. 1 Intro
  2. 2 PROBLEMS
  3. 3 WHAT TO DO?
  4. 4 OPTIONS?
  5. 5 DESIGN PRINCIPLES
  6. 6 KNOW YOUR DATA.
  7. 7 DON'T REINVENT THE WHEEL.
  8. 8 KEEP IT SIMPLE.
  9. 9 KNOW YOUR USERS.
  10. 10 KNOW YOUR HARDWARE.
  11. 11 DATA INGESTION AND STORAGE
  12. 12 WHAT TO STORE?
  13. 13 HOW TO BE RESILIENT?
  14. 14 HOW TO SCALE?
  15. 15 COMPACTED TOPICS
  16. 16 WINDOWED DATA
  17. 17 DATA MODEL
  18. 18 IN-MEMORY COMPUTING
  19. 19 RAM IS VOLATILE
  20. 20 ALGEBRA OF SETS
  21. 21 BITMAPS
  22. 22 BACK TO MNEMOSYNE
  23. 23 SPARSITY
  24. 24 AGGREGATIONS
  25. 25 WAS IT WORTH IT?
  26. 26 CAN YOU DO IT?
  27. 27 SHOULD YOU DO IT?
  28. 28 THANK YOU!

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