![]() YARN is a resource management platform included for managing computing resources and scheduling Hadoop tasks. Common/Core is a package containing libraries and utilities to support Hadoop modules. As a result, you can process very large data sets very quickly. It splits requests into smaller requests which are sent to many small servers to be processed in a parallel manner. MapReduce is a programming paradigm for processing and handling large data sets. Hadoop Distributed File System (HDFS) is a distributed file system that looks like any other file system except than when you move a file on HDFS, this file is split into many small files, each of those files is replicated and stored on (usually, may be customized) 3 servers for fault tolerance constraints. There are four fundamental components that make up Hadoop: Hadoop helps run analytics on high volumes of historical/line of business data on commodity hardware. Apache Hadoop, an Apache Software Foundation Project, is a big data analytics framework that focuses on near-time and batch-oriented analytics of historical data. ![]()
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