Divide and Conquer data:- Advanced Methods for partitioning and sharding data - Latest developments
Jobin Augustine is a PostgreSQL expert and Open Source advocate and has more than 18 years of working experience as consultant, architect, administrator, writer, and trainer in PostgreSQL, Oracle and other database technologies. He has always been an active participant in the Open Source communities and his main focus area is database performance and optimization. He is a contributor to various Open Source Projects and is an active blogger and loves to code in C++ and Python. Jobin holds a Masters in Computer Applications and joined Percona in 2018 as a Senior Support Engineer. Prior to joining Percona, he worked at OpenSCG for 2 years as Architect and was part of the BigSQL core team, a complete PostgreSQL distribution offering. Previous to his work at OpenScg, Jobin worked at Dell as Database Senior Advisor for 10 years and 5 years with TCS/CMC.
Speaker at: postgresconf 2019 PerconaLive 2019 pgconf.Eu 2019
No video of the event yet, sorry!
Historically PostgreSQL was not known for features available for horizontal scalability in handling large data sets. As a result, many PostgreSQL based systems were designed to handle specific types of business cases. But the PostgreSQL as its core was a bit lagging behind. Things started changing over a period of time. New methods and features like partitioning, sharding, FDWs started emerging. This presentation is about smarter choices available today and the major points to be considered for choosing them while architecting an Application.
This presentation Includes
- 1. A closer look at scalability in the database world.
- 2. Why divide and conquer is the right approach.
- 3. New partitioning features in PostgreSQL
- 4. How to partition data across multiple PostgreSQL servers.
- 5. Advanced extensions available for PostgreSQL - Citus Data and TimescaleDB etc.
- 6. Smart use of FDWs - Data from other data sources
- 2019 February 14 - 14:45
- 45 min
- Ballroom 4
- PGConf India, 2019
- Database Engine Developer