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When Change Data Capture Wins
Oct. 7, 2022, 4:56 p.m. | Sarah Krasnik
Towards Data Science - Medium towardsdatascience.com
Opinion
A guide on when real-time data pipelines are the most reliable way to keep production databases and warehouses in sync
Photo by American Public Power Association on UnsplashCo-written with John Kutay of Striim
Data warehouses emerged after analytics teams slowed down the production database one too many times. Analytical workloads aren’t meant for transactional databases, which are optimized for high latency reads, writes, and data integrity. Similarly, there’s a reason production applications are run on transactional databases.
Definition: …
analytics change change-data-capture data data capture data engineering data pipeline
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