Hadoop is an open source framework for storing and analysing massive volumes of data that is built on Java. The information is kept on a cluster of low-cost commodity servers. The distributed file system enables concurrent processing and fault tolerance. Hadoop, which was designed by Doug Cutting and Michael J, use the Map Reduce programming paradigm to more swiftly store and retrieve data from its nodes. The framework is managed by the Apache Software Foundation and distributed under the Apache License 2.0. While the processing power of application servers has skyrocketed in recent years, databases have lagged behind due to their limited capacity and speed. The Map Reduce programming model is used by Had loop, which was invented by Doug Cutting and Michael J, to store and retrieve data from its nodes more fast.
Furthermore, the ability to collect large amounts of data and the insights gained from crunching that data leads to better real-world business decisions, such as being able to focus on the right customer segment, weeding out or fixing inefficient processes, optimising floor operations, providing relevant search results, performing predictive analytics, and so on. Hadoop is a platform that consists of a number of interconnected components that enable distributed data storage and processing. These components make up the Hadoop ecosystem. Some of these are core components that make up the framework's foundation, while others are add-ons that enhance Hadoop's functionality. From a commercial standpoint, there are both direct and indirect advantages. Open-source technology are used on low-cost servers, which are frequently in the cloud, to save money for businesses (though occasionally on-premises).