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A Reference Guide to Stream Processing for Software Architects and Developers
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"A Reference Guide to Stream Processing for Software Architects and Developers"
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While quite simple and robust, batch processing introduces a large latency between gathering the data and being ready to act upon it. Stream processing aims to overcome that.

The goal of stream processing is to process live, raw data immediately as it arrives and meet the challenges of incremental processing, scalability, and fault tolerance.

In this Hazelcast white paper, promoted by RTInsights, you’ll learn:

  • Use cases that benefit from stream processing
  • What the building blocks of a stream processing solution are
  • Key concepts used when building a streaming pipeline
  • Hands-on examples based on Hazelcast Jet®


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