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NewsData engineering & the warehouse/lakehouseAmazon
AWS Big Data Blog · Read source ↗

Amazon Managed Service for Apache Flink introduces a stream multiplier pattern that allows users to take small pre-recorded samples and multiply them to create a production-scale load. This method preserves the statistical properties of real traffic, enabling more effective validation of streaming pipelines under peak conditions.

MyDataWork POV — Finally, a solution that addresses the perennial challenge of testing streaming pipelines at scale without the guesswork. The stream multiplier pattern offered by Amazon Managed Service for Apache Flink is a much-needed tool for data professionals. By enabling the creation of production-scale loads from smaller samples, it allows for realistic testing environments that mirror actual conditions. This is the breakthrough that displaces the usual trial-and-error approach, making it the most significant development of the week for those wrestling with the unpredictable nature of streaming data.
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