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Comparative analysis of Stream Processing Systems

af Keijo Heljanko, Farouk Salem, Khalid Latif
Comparative analysis of Stream Processing Systems af Keijo Heljanko
Bag om Comparative analysis of Stream Processing Systems

There are many frameworks that try to process Big Data in real time such as Apache Spark, Apache Flink, and Apache Beam. The main purpose of this research is to give a clear and fair comparison among the mentioned frameworks from different perspectives such as the latency, processing guarantees, the accuracy of results, fault tolerance, and the available functionalities of each framework. Keywords: Big Data, Stream processing frameworks, Real-time analytic, Apache Spark, Apache Flink, Google Cloud Dataflow, Apache Beam, Lambda Architecture

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9783330804197
  • Indbinding:
  • Paperback
  • Sideantal:
  • 96
  • Udgivet:
  • 27. maj 2019
  • Størrelse:
  • 229x152x6 mm.
  • Vægt:
  • 150 g.
  • 2-3 uger.
  • 2. december 2024

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Beskrivelse af Comparative analysis of Stream Processing Systems

There are many frameworks that try to process Big Data in real time such as Apache Spark, Apache Flink, and Apache Beam. The main purpose of this research is to give a clear and fair comparison among the mentioned frameworks from different perspectives such as the latency, processing guarantees, the accuracy of results, fault tolerance, and the available functionalities of each framework. Keywords: Big Data, Stream processing frameworks, Real-time analytic, Apache Spark, Apache Flink, Google Cloud Dataflow, Apache Beam, Lambda Architecture

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