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www.morling.dev | ||
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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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debezium.io
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| | | | | Debezium is an open source distributed platform for change data capture. Start it up, point it at your databases, and your apps can start responding to all of the inserts, updates, and deletes that other apps commit to your databases. Debezium is durable and fast, so your apps can respond quickly and never miss an event, even when things go wrong. | |
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www.decodable.co
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| | | | | How CDC can help with microservices, caching, and more. | |
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dataonwheels.wordpress.com
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| | | Sometimes you need a fast way to test your API call and responses, and for that VS code is the perfect tool to do that. For today's demo, we will use a free API to test with. https://catfact.ninja/factKeep in mind, this is a very very simple REST API. For more complicated REST API calls, make... | ||
