Abstract
Many emerging applications, from domains such as healthcare and oil & gas, require several data processing systems for complex analytics. This demo paper showcases Rheem, 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 Rheem by using real-world scenarios from three different applications, namely, machine learning, data cleaning, and data fusion.
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CITATION STYLE
Agrawal, D., Ba, L., Berti-Equille, L., Chawla, S., Elmagarmid, A., Hammady, H., … Zaki, M. J. (2016). Rheem: Enabling multi-platform task execution. In Proceedings of the ACM SIGMOD International Conference on Management of Data (Vol. 26-June-2016, pp. 2069–2072). Association for Computing Machinery. https://doi.org/10.1145/2882903.2899414
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