Big Data Hadoop Development Online Training Classes and Job Assistance

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Big Data Hadoop Development Online Training Classes and Job Assistance

Course Overview

Big data is a technology that has emerged as the frontrunner for handling Big Data processing. This efficient platform aids in storing, handling and retrieving enormous amounts of data in a variety of applications while also helping in deep analytics. As more and more companies are embracing Hadoop, the demand for Hadoop Developers is growing. Our Apache Hadoop development training will help you understand its critical aspects and the tools and techniques to harness its power. Join today for a brilliant career in Big Data Analytics.


Course Objectives:


. Master the concepts of HDFS and MapReduce framework


. Understand Hadoop 2.x Architecture


. Setup Hadoop Cluster and write Complex MapReduce programs


. Implement HBase and MapReduce integration


. Implement Advanced Usage and Indexing


. Implement best practices for Hadoop development


. Work on a real life Project on Big Data Analytics


. 50% interactive and hands-on training exercises using HDFS, Pig, Hive, HBase, key MapReduce components and features, and more


What you will learn



  • Understand what Big Data is and how Hadoop is used to leverage its power

  • Learn about MapReduce, Hadoop Distributed File System (HDFS), YARN, and how to write MapReduce code

  • Learn best practices and considerations for Hadoop development, debugging techniques and implementation of workflows and common algorithms

  • Learn how to use Hadoop frameworks like ApachePig™, ApacheHive™, Sqoop, Flume, Oozie and other projects from the Apache Hadoop Ecosystem

  • Perform real-world analytics by learning advanced Hadoop API topics

  • Learn about the hardware considerations that go into maintaining the Hadoop cluster

  • Comprehensive e-courseware will be provided


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