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Massive Data Volumes Making Hadoop Hot

Tuesday, March 8, 2011

Increasing efforts by enterprises to glean business intelligence from the massive volumes of unstructured data generated by web logs, clickstream tools, social media products and the like has led to a surge of interest in open source Hadoop technology, analysts say.

Hadoop, an Apache data management software project with roots in Google's MapReduce software framework for distributed computing, is designed to support applications that use massive amounts of unstructured and structured data.

Unlike traditional relational database management systems, Hadoop is designed to work with multiple data types and data sources. Hadoop's Distributed File System (HDFS) technology allows large application workloads to be broken up into smaller data blocks that are replicated and distributed across a cluster of commodity hardware for faster processing.

Article sourced from www.computerworld.com, click here to read full story.

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