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Hadoop is an open-source framework which is quite popular in the big data industry. Due to hardtop’s future scope, versatility and functionality, it has become a must-have for every data scientist. In simple words, Hadoop is a collection of tools that lets you store big data in a readily accessible and distributed environment. It enables you to process the data paralleled. Yahoo created Hadoop in the year 2006, and it started using this technology by 2007. It was given to the Apache Software Foundation in 2008. However, several developments took place, which helped the creation of this robust framework. Hadoop is not an alternative for databases and data warehouses. It provides a framework for Big Data processing. The processing of structured data is much easier in relational databases. Hadoop is an extensive framework. It has many components that help you in storing and processing data. To learn Hadoop Course please click here: https://nareshit.com/hadoop-online-training/ However, primarily it is divided into two sections: 1.HDFS stands for Hadoop Distributed File System 2.YARN


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