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.

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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

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