Optimizing For Analytics | Scaling Postgres 334

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In this episode of Scaling Postgres, we discuss how to optimize your database for analytics, how to speed up counts, improvements to TimescaleDB and why you should stop using serial.

Want to learn more about Postgres performance?

Timestamps:
00:00 - Intro
00:41 - Optimising your Database for Analytics
05:25 - Slow count
08:32 - Making Postgres Faster: New Features for 7x Faster Queries and 500x Faster Updates
08:56 - Hyperstore: A Hybrid Row-Columnar Storage Engine for Real-Time Analytics
10:11 - Boost Postgres Performance by 7x With Chunk-Skipping Indexes
12:17 - Bridging the Gap Between Compressed and Uncompressed Data in Postgres: Introducing Compression Tuple Filtering
14:09 - Stop using SERIAL in Postgres
17:09 - Hybrid search with PostgreSQL and pgvector
19:02 - Window Functions for Data Analysis with Postgres
20:19 - Schrödinger’s Backups: A Lesson in Uncertainty
21:30 - Outro

#postgres #postgresql

[alistairwoodcock]

Appreciated the new format! The topic came at a useful time for me