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Comparative analysis of Stream Processing Systems - Farouk Salem,Khalid Latif,Keijo Heljanko

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2019-05-27
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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 ... Visas aprašymas

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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

Daugiau informacijos

Autorius Farouk Salem, Khalid Latif, Keijo Heljanko
Leidėjas Noor Publishing
Išleidimo metai 2019
Viršelio tipas Minkšti viršeliai
EAN 9783330804197
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24,40 € 37,54 €