Apache Hadoop
Open-source software for reliable, scalable, distributed computing
Apache Hadoop is an open-source framework for distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale from single servers to thousands of machines, each providing local computation and storage, and handles failures at the application layer rather than relying on hardware for high availability.
The project includes Hadoop Common, Hadoop Distributed File System (HDFS), Hadoop YARN, and Hadoop MapReduce. HDFS provides high-throughput access to application data, YARN handles job scheduling and cluster resource management, and MapReduce is a YARN-based system for parallel processing of large data sets. Related Apache projects include Ambari, Avro, Cassandra, Chukwa, HBase, Hive, Mahout, Ozone, Pig, Spark, Submarine, Tez, and ZooKeeper.
Apache Hadoop is available as open-source software under the Apache Software Foundation, with releases published through the project's download and documentation channels. The project provides documentation, wiki resources, mailing lists, and issue tracking for users and contributors.
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