Apache Hadoop

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Apache Hadoop

Apache Hadoop is an open-source software framework designed to store and process massive amounts of data across distributed clusters of computers by employing a distributed file system and a data processing framework. It enables businesses to efficiently handle and analyze large datasets in parallel, providing insights for informed decision-making.

What does Apache Hadoop mean?

Apache Hadoop is an open-source Distributed Computing framework that provides a Scalable and reliable way to manage and process big data sets. It is widely used for data-intensive applications such as data analytics, machine learning, and data warehousing.

Hadoop is based on the MapReduce programming model, which divides a computation into a series of smaller tasks that can be executed in parallel across a Cluster of computers. This allows Hadoop to process vast amounts of data efficiently and quickly.

Apache Hadoop consists of several key components, including:

  • Hadoop Distributed File System (HDFS): A distributed file system that provides可靠and scalable storage for large data sets.
  • Hadoop MapReduce: A programming framework that enables the distributed processing of big data using the MapReduce model.
  • Hadoop YARN: A resource management framework that schedules and manages the execution of Hadoop applications.
  • Hadoop Common: A Set of utilities and libraries that provide common functionality for Hadoop applications.

Applications

Apache Hadoop is used in a wide range of applications, including:

  • Data analytics: Hadoop is used to analyze large data sets to uncover trends and patterns.
  • Machine learning: Hadoop is used to train and deploy machine learning models on big data.
  • Data warehousing: Hadoop is used to store and manage large data warehouses for data analysis and reporting.
  • Big data search: Hadoop is used to index and search large data sets.
  • Data integration: Hadoop is used to integrate data from multiple sources into a single, unified view.

History

Apache Hadoop was created by Doug Cutting and Mike Cafarella at Yahoo in 2006. It was originally inspired by Google’s MapReduce programming model.

In 2008, Hadoop was released as an open-source project under the Apache License. Since then, it has become one of the most popular big data technologies.

Hadoop has undergone significant development since its initial release. Major releases have included Hadoop 1.0 in 2009, Hadoop 2.0 in 2013, and Hadoop 3.0 in 2019.

Hadoop is now maintained by the Apache Software Foundation (ASF) and a large community of contributors. It is used by organizations of all sizes, including leading technology companies, governments, and research institutions.