Hadoop

Data is stored on commodity servers that are clustered together at a low cost. 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 quickly 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 restricted capacity and speed. Doug Cutting and Michael J built Had Loop, which uses the Map Reduce programming architecture to store and retrieve data from its nodes more fast. From a commercial sense, there are both direct and indirect advantages. Open-source technology are deployed on low-cost servers, which are mostly in the cloud, to save money for businesses (though occasionally on-premises).

Furthermore, the ability to collect large amounts of data and derive insights from that data leads to better real-world business decisions, such as the ability to focus on the right customer segment, weed out or fix inefficient processes, optimise floor operations, provide relevant search results, perform predictive analytics, and so on. Hadoop is a framework that consists of several interconnected components that enable for distributed data storage and processing. These components make up the Hadoop ecosystem. Some of them are essential foundation components, while others are optional components that enhance Hadoop's capability. From a commercial sense, 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).