English 
Русский 
简体中文 
Português do Brasil 
Français 
Español 
Türkçe 
Polski 
Tiếng Việt 
한국어 
Nederlands 
Italiano 
日本語 
Eesti 
Čeština 
മലയാളം 
Bahasa Melayu 
हिन्दी 
اردو 
Bahasa Indonesia 
Safe WebApache Hadoop is an open-source software framework used for distributed storage and processing of large-scale datasets across clusters of commodity servers. It is designed to scale from single servers to thousands of machines, each offering local processing and storage. It is an implementation of the MapReduce programming model and Hadoop stores data in distributed storage and processes them with the MapReduce computational model.
Hadoop was created in 2006 at Yahoo! Research by Doug Cutting and Mike Cafarella, who were inspired by Google’s MapReduce paper. Initially, the Apache Software Foundation took over the management of the project in 2007. Since then, Hadoop has gained a lot of traction and is now being used widely in many fields, including social media, finance, risk analysis, medical records, and more.
At the core of Hadoop are two components: a distributed file system and the MapReduce programming model. Hadoop’s distributed file system, HDFS, is based on the Google Filesystem and allows data to be stored in blocks across multiple machines, thus providing a fault-tolerant storage system. Meanwhile, the MapReduce programming model divides a task into sub-tasks, and distributes them across multiple nodes. This provides parallelization and enables high-speed, distributed computing.
In addition to the core components, Hadoop comes with a library of related tools. This includes the Hive database and analytics engine, Pig Latin scripting language, YARN for scheduling jobs, and Oozie for workflow management. Hadoop also supports a wide array of developers languages, including Java, C++, Python, Ruby, and Perl.
In recent years, Hadoop has become a key component of Big Data solutions. It is an ideal choice for businesses needing to process large volumes of data quickly and efficiently. Its scalability and flexibility make it a great option for data-driven organizations.
Overall, Apache Hadoop is an open-source framework used for distributed storage and processing of large-scale datasets across clusters of commodity servers. It is easy to use and provides an efficient way to process and store data.
