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www.confluent.io | ||
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jeff.klukas.net
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| | | | | 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. | |
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henrikwarne.com
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| | | | | 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... | |
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www.decodable.co
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| | | | | Change Data Capture (CDC) is the idea of capturing changes made to data in a database and then delivering those change events in real-time to a downstream process or system. In this blog we'll break down why this is useful and how to build a system to process CDC streams. | |
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winterbe.com
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| | | Learn Java SE 8 by example: Lambda Expressions, Default Interface Methods, Method References, Streams, Date API, Annotations and more | ||
