Google introduced the MapReduce algorithm to perform massively parallel processing of very large data sets using clusters of commodity hardware. MapReduce is a core Google technology and key to ...

Univa Grid Engine – A Shared Infrastructure for Applications including MapReduce Grid Engine is the industry-leading distributed resource management (DRM) system used by thousands of organizations ...

Back in 2013, Google announced its plans to not sue anybody who had implemented open-source versions of its MapReduce algorithm. Since then, the company has expanded what it calls its "Open Patent ...

YARN is the component that decouples Hadoop from the MapReduce algorithm, permitting it to run while also allowing other processing engines -- including Spark and Flink -- to take its place.

Some algorithms translate poorly to Map-Reduce—the partitioning of data and computation to individual nodes makes some computations (graph processing for instance) difficult. And, the implementation ...

According to ScaleOut CEO Bill Bain, with hServer, the analytics capability — the MapReduce algorithm — is used not just to analyse the data but also to update that data in parallel.

Building a Cloud out of Smart Phones Google’s MapReduce algorithm turns a bunch of cell phones into a self-contained cloud computing environment.

"We knew that we were going to have to take Hadoop beyond MapReduce," Murthy says. "The programming model—the MapReduce algorithm—was limited. It can't support the very wide variety of use-cases we're ...

Cascading is a new processing API for data processing on Hadoop clusters, and supports building complex processing workflows using an expressive, declarative API.