With the exponential growth of data in todays digital world, big data processing and analytics have become essential for businesses and organizations. Hadoop, an open-source framework designed to store and process large datasets in a distributed computing environment, has emerged as a key technology in big data. Apache Hadoop allows users to efficiently store, manage, and analyze massive volumes of data across multiple machines. Its distributed processing model makes it scalable, fault-tolerant, and ideal for handling complex, data-intensive tasks.
Hadoop provides an invaluable platform for learning how to handle large datasets and build scalable data processing solutions. The Hadoop ecosystem includes several tools such as HDFS (Hadoop Distributed File System), MapReduce, Hive, Pig, and HBase, which together offer a comprehensive environment for building end-to-end data analytics solutions.
Software Tools and Technologies
• Operating System: Ubuntu 20.04 LTS 64bit / Windows 10
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