Originally the MapReduce algorithm was essentially hardwired into the guts of Hadoop’s cluster management infrastructure. It was a package deal: big data pioneers had to take the bitter with the ...

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 ...

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.

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.

"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 ...

Hadoop is an open-source software framework that evolved from Google's MapReduce algorithm. Many Internet giants rely on Hadoop to quickly identify and serve customized data to consumers. In 2010 ...

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

The general MapReduce concept is simple: The "map" step partitions the data and distributes it to worker processes, which may run on remote hosts. The outputs of the parallelized computations are ...