Hadoop is a software framework that supports data-intensive distributed applications. It is an Apache project written in Java.
Apache Hadoop
Official site of the Apache project to provide an open-source implementation of frameworks for reliable, scalable, distributed computing and data storage.
Hadoop World Conference
Annual conference to network, learn and get Apache Hadoop training.
Wikipedia - Apache Hadoop
Hyperlinked article about the open-source software framework for data-intensive distributed applications.
Yahoo! Developer Network - Hadoop
Provides a blog and information for developers and publishers. Includes documentation, APIs, tools, support and resources.
InformationWeek - Hadoop Spurs Big Data Revolution
Open source data processing platform has won over Web giants for its low cost, scalability, and flexibility. Now Hadoop will make its way into more enterprises. (November 09, 2011)
InformationWeek - IT's Next Hot Job: Hadoop Guru
JPMorgan Chase makes a case for the big data platform (and career track) of the future. (November 09, 2011)
New York Times - Yahoo Creates Company to Profit From Hadoop Software
Yahoo is creating a separate company to provide support and services for users of Hadoop, software it helped develop that manages large sets of data. (June 28, 2011)
O'Reilly Radar - Get started with Hadoop: From evaluation to your first production cluster
Focusing on the Hadoop Distributed File System (HDFS) and MapReduce, this in-depth piece offers tips for organizations that are looking to evaluate Hadoop and deploy an initial cluster. (June 27, 2011)
Computerworld - Massive data volumes making Hadoop hot
Rapidly growing sores of structured and unstructured data are prompting IT executives to turn to open source Hadoop technology for storage and analysis efforts. (March 08, 2011)
O'Reilly Community - Webcast: An Introduction to Hadoop
Cloudera founder Christophe Bisciglia and O'Reilly author Tom White provide an introduction to Hadoop/MapReduce, the open source project that allows organizations to process, store and analyze massive application datasets. (July 16, 2009)
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Last update:
April 3, 2015 at 10:24:28 UTC
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