Title
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.
Year
DOI
Venue
2016
10.1145/2882903.2899414
SIGMOD Conference
Field
DocType
Citations 
Query optimization,Data mining,Data processing,Abstraction,Data analysis,Computer science,Data processing system,Sensor fusion,Analytics,Big data,Database
Conference
12
PageRank 
References 
Authors
0.54
10
15
Name
Order
Citations
PageRank
Divyakant Agrawal182011674.75
Mouhamadou Lamine Ba2355.15
Laure Berti-Equille358849.90
Sanjay Chawla41372105.09
Ahmed K. Elmagarmid53720626.92
Hossam M. Hammady6412.78
Yasser Idris7121.22
Zoi Kaoudi821518.55
Zuhair Khayyat92288.64
Sebastian Kruse10518.03
Mourad Ouzzani111213120.36
Paolo Papotti1283262.51
Jorge-arnulfo Quiané-ruiz1398661.02
Nan Tang1495459.62
Mohammed Javeed Zaki157972536.24