~/talk

Breakout Session

Talkat PGConf Silicon Valley 2015 · 2015-11-17..11-18· [databases]
slides:none on file

Postgres positions itself as a central data broker by shipping concrete features: JSONB 9.4 with benchmarks showing much smaller indexes and dramatically faster queries for typical workloads, pluggable extensions via create extension (PL/Python, PostGIS), new storage/index types like BRIN indexes for huge append‑only tables, and foreign data wrappers that join across Oracle, MongoDB, S3, etc. Work on auto‑sharding and parallel sequential scan 9.6 is underway; replication + FDWs enable cross‑store analytics today.

AI-written summary · about

  1. 0:00Intro
  2. 3:45Outline
  3. 6:24Object-Relational (Extensibility)
  4. 10:24Example: ISBN Data Type
  5. 13:36The System Catalog Entry for INTEGER
  6. 14:36Not Just Data Types, Languages
  7. 16:07Available Languages
  8. 17:12Specialized Indexing Methods
  9. 17:45Index Types Are Defined in the System Catalogs Too
  10. 18:00Operators Have Similar Flexibility
  11. 19:50Other Extensibility
  12. 22:08Offshoots of Postgres
  13. 22:44Plug-In Is Not a Bad Word
  14. 26:35When Should Relational Storage Be Used?
  15. 26:57The Best of Both Worlds: Postgres
  16. 31:48Easy Relational Schema Changes
  17. 32:28Data Analytics
  18. 39:03Read-Only Slaves for Analytics
  19. 42:31Foreign Data Wrappers to Non-Traditional Data Sources
  20. 43:20Foreign Data Wrapper Example
  21. 44:174. Foreign Data Wrappers (Database Federation)
  22. 47:26Read and Read/Write Data Sources
  23. 50:36Postgres Centrality
  24. 50:54Postgres's Central Role
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