GitHub

A high-performance, framework-agnostic MapReduce implementation for PHP that processes large datasets using parallel workers and disk-based storage.

MapReduce accepts any iterable as input - arrays, generators, iterators, or custom iterables. 💡 True Streaming: Large files, database cursors, and API paginations are consumed as they're produced - ...
IEEE

A micropartitioning technique for massive data analysis using MapReduce

Abstract: Over the past years, large amounts of structured and unstructured data are being collected from various sources. These huge amounts of data are difficult to handle by a single machine which ...
IEEE

Massive power device condition monitoring data feature extraction and clustering analysis using MapReduce and graph model

Abstract: Effective storage, processing and analyzing of power device condition monitoring data faces enormous challenges. A framework is proposed that can support both MapReduce and Graph for massive ...
ZDNet

MapReduce and MPP: Two sides of the Big Data coin?

When the Big Data moniker is applied to a discussion, it’s often assumed that Hadoop is, or should be, involved. But perhaps that’s just doctrinaire. Hadoop, at its core, consists of HDFS (the Hadoop ...
ZDNet

Aster Data delivers 30 analytic packages and MapReduce functions for mainstream data analytics

Aster Da ta, which provides data management and data processing platform for big data analytic applications, today announced the delivery of over 30 ready-to-use advanced analytic packages and more ...