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Architectural Best Practices for Large-Scale Data Systems
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- 1 intro
- 2 preamble
- 3 storage architecture & retrieval
- 4 b-trees vs quadtrees vs lsm trees vs r-trees vs inverted index
- 5 why b-trees in distributed email service
- 6 why quad-trees in proximity service
- 7 why lsm-trees in write-heavy system
- 8 why inverted indexx in search engines
- 9 partitioning database:- secondary indices
- 10 partitioning secondary index - local
- 11 partitioning secondary index - global
- 12 local vs global
- 13 conflict free replicated datatypes crdts
- 14 write conflict in multi-leader replication
- 15 solution: conflicat free replicated datatypes
- 16 inside-out vs outside-in architecture
- 17 inside out vs outside in
