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 ...

It is an open implementation of the MapReduce algorithm and includes HDFS (Hadoop Distributed File System) for high throughput access to distributed data. What has been less visible for some time is ...

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 ...

Google’s MapReduce algorithm turns a bunch of cell phones into a self-contained cloud computing environment.

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 ...

An Efficient Implementation of Apriori Algorithm Based on Hadoop-Mapreduce Model Finding frequent itemsets is one of the most important fields of data mining.

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.

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