Explore >> Select a destination
|
You are here 
|
www.confluent.io | ||
| | | | |
jeff.klukas.net
|
|
| | | | | Originally posted on the Simple engineering blog; also presented at PGConf US 2017 and Ohio LinuxFest 2017 We previously wrote about a pipeline for replicating data from multiple siloed PostgreSQL databases to a data warehouse in Building Analytics at Simple, but we knew that pipeline was only the first step. This post details a rebuilt pipeline that captures a complete history of data-changing operations in near real-time by hooking into PostgreSQL's logical decoding feature. The new pipeline powers not only a higher-fidelity warehouse, but also user-facing features. | |
| | | | |
henrikwarne.com
|
|
| | | | | What a great book Designing Data-Intensive Applications is! It covers databases and distributed systems in clear language, great detail and without any fluff. I particularly like that the author Martin Kleppmann knows the theory very well, but also seems to have a lot of practical experience of the types of systems he describes. There is... | |
| | | | |
andyatkinson.com
|
|
| | | | | This month's PGSQL Phriday topic prompts writers to discuss how their team manages PostgreSQL database schema changes. | |
| | | | |
www.shalzmojo.in
|
|
| | | | Bookish Endorsements | Quirky words | Book reviews | Blogging | Am reading | TBR | AtoZ challenge | April 2023 | Reflections post | | ||
