Zaki, Mohammed J.
KAUST DepartmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Computer Science Program
Permanent link to this recordhttp://hdl.handle.net/10754/621289
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AbstractMany 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. © 2016 ACM.
CitationAgrawal D, Kruse S, Ouzzani M, Papotti P, Quiane-Ruiz J-A, et al. (2016) Rheem. Proceedings of the 2016 International Conference on Management of Data - SIGMOD ’16. Available: http://dx.doi.org/10.1145/2882903.2899414.
Conference/Event name2016 ACM SIGMOD International Conference on Management of Data, SIGMOD 2016