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