Real-time stream processing architectures differ significantly from batch processing: whereas batch processing requires massive amounts of storage and CPU and memory resources sufficient to churn ...

Previously, we introduced streaming, saw some of the benefits it can bring and discussed some of the architectural options and vendors / engines that can support streaming-oriented solutions. We now ...

Streaming data records are typically small, measured in mere kilobytes, but the stream often goes on and on without ever stopping. Streaming data, also called event stream processing, is usually ...

Apache Beam, a unified programming model for both batch and streaming data, has graduated from the Apache Incubator to become a top-level Apache project. Aside from becoming another full-fledged ...

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Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Thomas J Catalano is a CFP and Registered ...

A monthly overview of things you need to know as an architect or aspiring architect. Traditional caching fails to stop "thundering herds" where multiple clients trigger the same work during a miss.