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How to Scale an Integration Pipeline Without Breaking Correctness

https://towardsdatascience.com/scaling-an-integration-pipeline-without-breaking-correctness/(towardsdatascience.com)
Scaling a data pipeline to handle thousands of events per second is possible only by first establishing unbreakable rules for data correctness. A critical guarantee is using versioning to ensure older data can never overwrite newer updates, which allows for aggressive parallel processing without fear of corruption. The system also uses atomic database
0 pointsby chrisf1 hour ago

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