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Big Data Hadoop is a framework designed to store and process large amounts of data in a distributed computing environment. It provides a scalable and cost-effective solution for managing and analyzing big data. Hadoop includes components such as the Hadoop Distributed File System (HDFS) for data storage and the MapReduce programming model for processing data in parallel across a cluster of computers.<br><br>
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Big Data Hadoop Certification Training Course janbasktraining.com/hadoop-big-data-analytics Take a look at the benchmarks you will achieve during your Big Data Learning Path Hadoop Architecture, HDFS and MapReduce Introduction to BIGDATA and HADOOP. Relation between Big Data and Hadoop. What is the need of going ahead with Hadoop? Scenarios to apt Hadoop Technology in REAL TIME Projects. How Hadoop is addressing Big Data Changes Importance of Hadoop Ecosystem Components What is HDFS (Hadoop Distributed File System). HDFS Architecture - 5 Daemons of Hadoop Replication in Hadoop - Fail Over Mechanism Hadoop Cluster Setup and JDK Installation. Why is Map Reduce is essential in Hadoop? MapReduce and drawbacks w.r.to Task Tracker Failure in Hadoop Cluster. Map Reduce Life Cycle & Communication Mechanism of Job Tracker & Task Tracker 1/2