A foundation of Cloud computing and at the epicenter of "big data" solutions, Apache Hadoop enables data-intensive distributed applications to work with thousands of nodes and exabytes of data. Hadoop enables organizations to more efficiently and cost-effectively store, process, manage and analyze the growing volumes of data being created and collected every day. Apache Hadoop connects thousands of servers to process and analyze data at supercomputing speed.
The project's latest release marks a major milestone more than four years in the making, and has achieved the level of stability and enterprise-readiness to earn the General Availability designation.
"With the release of stable Hadoop 2, the community celebrates not only an iteration of the software, but an inflection point in the project's development. We believe this platform is capable of supporting new applications and research in large-scale, commodity computing," said Apache Hadoop Vice President
"What started out a few years ago as a scalable batch processing system for Java programmers has now emerged as the kernel of the operating system for big data," said original Hadoop creator and ASF Board member
Dubbed a "Swiss army knife of the 21st century" and named "Innovation of the Year" by the 2011 Media Guardian Innovation Awards, Apache Hadoop is widely deployed at enterprise organizations around the globe, including industry leaders from across the Internet and social networking landscape such as Amazon Web Services, AOL, Apple, eBay, Facebook, foursquare, HP, LinkedIn, Netflix, The New York Times, Rackspace, and Twitter. Other technology leaders such as Microsoft, IBM, Teradata, SAP have integrated Apache Hadoop into their offerings. Yahoo!, an early pioneer, hosts the world's largest known Hadoop production environment to date, spanning more than 35,000 nodes.
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