Hadoop is a distributed computing framework that is used for storing and processing large data sets across clusters of computers. It was created by the Apache Software Foundation and is open source.

The core components of Hadoop include:

  1. Hadoop Distributed File System (HDFS): This is a distributed file system that provides high-throughput access to application data.
  2. MapReduce: This is a programming model and software framework for writing applications that can process vast amounts of data in parallel across a large number of nodes in a Hadoop cluster.
  3. YARN: This is a resource management and job scheduling framework that is used to manage resources in a Hadoop cluster and allocate them to applications.

Hadoop has become very popular in recent years due to its ability to handle massive amounts of data and provide high availability and fault tolerance. It is commonly used in big data applications such as data analytics, machine learning, and data processing.

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