Rheem: Enabling Multi-Platform Task Execution

Abstract : Many emerging applications, from domains such as healthcare and oil & gas, require several data processing systems for complex analytics. This demo paper showcases system, a framework that provides multi-platform task execution for such applications. It features a three-layer data processing abstraction and a new query optimization approach for multi-platform settings. We will demonstrate the strengths of system by using real-world scenarios from three different applications, namely, machine learning, data cleaning, and data fusion.
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Conference papers
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https://hal.inria.fr/hal-01829075
Contributor : Laure Berti-Equille <>
Submitted on : Tuesday, July 3, 2018 - 5:13:02 PM
Last modification on : Friday, May 17, 2019 - 1:20:19 AM

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Divy Agrawal, Lamine Ba, Laure Berti-Équille, Sanjay Chawla, Ahmed Elmagarmid, et al.. Rheem: Enabling Multi-Platform Task Execution. SIGMOD 2016 - International Conference on Management of Data, Jun 2016, San Francisco, United States. pp.2069-2072, ⟨10.1145/2882903.2899414⟩. ⟨hal-01829075⟩

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