Rheem: Enabling multi-platform task execution
Proceedings of the 2016 International Conference on Management of Data, 2016•dl.acm.org
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.
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.
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.