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Scale changes architectures
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Following Google or Don't Follow the Followers, Follow the Leader
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- 1 Intro
- 2 Early history
- 3 Scrolls
- 4 Clay vs Paper
- 5 Codex
- 6 Medium encyclopedias
- 7 Movable type
- 8 Perfect copies
- 9 Metadata
- 10 Sharing knowledge
- 11 Taxonomy
- 12 Species are not fixed
- 13 Victorian Era
- 14 Industrial Era
- 15 Topdown Taxonomy
- 16 Why did this happen
- 17 Problems of pragmatism
- 18 Scale changes
- 19 Top down vs bottom up
- 20 Scale changes architectures
- 21 Big data
- 22 Relational databases
- 23 Moores law
- 24 Clientserver
- 25 Connection pooling
- 26 Stateless architectures
- 27 Database scalability
- 28 Sharding
- 29 Design for failure
- 30 You can put this new thing in
- 31 So what have we done
- 32 Query processing
- 33 Big mainframes
- 34 Data warehousing
- 35 Cubing architectures
- 36 Database architectures
- 37 No sequel
- 38 Query optimization
- 39 Data modeling
- 40 Performance curve
- 41 Key value store
- 42 Query strings
- 43 Hadoop
- 44 Microsoft
- 45 Model building
- 46 Unstructured data
- 47 Scientific computing
- 48 Query problems
- 49 Small analytics
- 50 Hadoop and no sequel
- 51 Big conclusion
- 52 F1 evolution
