TY - GEN
T1 - Rheem
T2 - 2016 ACM SIGMOD International Conference on Management of Data, SIGMOD 2016
AU - Agrawal, Divy
AU - Ba, Lamine
AU - Berti-Equille, Laure
AU - Chawla, Sanjay
AU - Elmagarmid, Ahmed
AU - Hammady, Hossam
AU - Idris, Yasser
AU - Kaoudi, Zoi
AU - Khayyat, Zuhair
AU - Kruse, Sebastian
AU - Ouzzani, Mourad
AU - Papotti, Paolo
AU - Quiané-Ruiz, Jorge Arnulfo
AU - Tang, Nan
AU - Zaki, Mohammed J.
N1 - Publisher Copyright:
© 2016 ACM.
PY - 2016/6/26
Y1 - 2016/6/26
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/84979656031
U2 - 10.1145/2882903.2899414
DO - 10.1145/2882903.2899414
M3 - Conference contribution
AN - SCOPUS:84979656031
T3 - Proceedings of the ACM SIGMOD International Conference on Management of Data
SP - 2069
EP - 2072
BT - SIGMOD 2016 - Proceedings of the 2016 International Conference on Management of Data
PB - Association for Computing Machinery
Y2 - 26 June 2016 through 1 July 2016
ER -