HTAP inside! How to boost analytical workload with PostgreSQL By Takahiro Kobayashi

議題

HTAP inside! How to boost analytical workload with PostgreSQL

TR409-2 [[ new Date( '2024-08-03 06:30:00+00:00' ).toLocaleDateString('ja', {year: 'numeric', month: '2-digit', day: '2-digit'}) ]] [[ new Date( '2024-08-03 06:30:00+00:00' ).toLocaleTimeString('zh-Hant', {hour12: false, hour: '2-digit', minute:'2-digit'}) ]] ~ [[ new Date( '2024-08-03 07:00:00+00:00' ).toLocaleTimeString('zh-Hant', {hour12: false, hour: '2-digit', minute:'2-digit'}) ]] 英文 English

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Unleash the potential of PostgreSQL! It can handles complex workloads, i.e. HTAP, combining OLTP as well as OLAP. Needless to say, this is an open source adoption. In this session, I will share how to extend PostgreSQL into a column-oriented store that can compress and scale horizontally while efficiently handling OLAP. Let's learn about HTAP, which is becoming a trend in databases.

講者

Takahiro Kobayashi

Database Technical Lead at NTT Data. He is instrumental in talking with engineers about PostgreSQL and distributed databases and setting up meetups. He is a speaker at PGConf.Asia 2019 and PostgreSQL Conference Japan 2023, and is the Japanese translation supervisor for O'Reilly's Database Internals.

PostgreSQL.TW H8RWLB general (30mins)