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Marcu et al., 2016 - Google Patents

Spark versus flink: Understanding performance in big data analytics frameworks

Marcu et al., 2016

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Document ID
11011692153059340353
Author
Marcu O
Costan A
Antoniu G
Pérez-Hernández M
Publication year
Publication venue
2016 IEEE International Conference on Cluster Computing (CLUSTER)

External Links

Snippet

Big Data analytics has recently gained increasing popularity as a tool to process large amounts of data on-demand. Spark and Flink are two Apache-hosted data analytics frameworks that facilitate the development of multi-step data pipelines using directly acyclic …
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Classifications

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    • G06F17/30286Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30386Retrieval requests
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    • G06F17/30442Query optimisation
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    • G06F9/00Arrangements for programme control, e.g. control unit
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