Comprehensive MapReduce Certification Training

Master the core of MapReduce to handle substantial amounts of data

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Key Highlights

  • Self-paced
  • Practical Assignments
  • Lifetime Access to Learning Management System
  • 24x7 Expert Support
  • Course Completion Certificate
  • Online Forum for Discussions

Course Price

$199.00 $399.00

Contact Us

1866-216-7898

(Toll Free)

Available Courses Delivery

This course is available in the following formats:

Self Paced (On-Demand)

24x7 access to instructor-led videos and practical activities
Convenient training that syncs with your schedule
Enroll Now

$399  $199

Course Overview

This course has been curated to acquaint learners with distributed data processing and managing large amounts of data using MapReduce. It educates about writing MapReduce and YARN programs. It introduces to the advanced features of MapReduce.It teaches various concepts, including Hadoop MapReduce Frameworks, and Advance MapReduce.

Course Objectives

  • Acquaint learners with Hadoop and its application in the parallel data processing
  • Educate about MapReduce programs to analyze Big Data and logical glimpses into business benefits
  • Train in the advanced features of MapReduce and YARN
  • Establish proficiency in Hadoop MapReduce Framework-I and Hadoop MapReduce Framework-II
  • Master the concept of Advance MapReduce

Career Benefits

  • Great remuneration as a MapReduce Developer or Programmer
  • Numerous career possibilities in Big Data Analytics
  • Multi-industry opportunities

Prerequisites

  • Prior knowledge of Core Java
  • Good Analytical Skills

Who should take up?

  • Software Developers
  • Java Developers
  • Analytics Professionals
  • Project Managers
  • ETL Developers
  • Testing Professionals

Course Content

  • MapReduce Use Cases
  • Traditional way Vs MapReduce way
  • Why MapReduce
  • Hadoop 2.x MapReduce Architecture
  • Hadoop 2.x MapReduce Components
  • YARN MR Application Execution Flow
  • YARN Workflow
  • Anatomy of MapReduce Program
  • Demo on MapReduce
  • Input Splits in MapReduce
  • Combiner
  • Partitioner
  • Demos on MapReduce
  • Counters
  • Distributed Cache
  • MRunit
  • Reduce Join
  • Custom Input Format
  • Sequence Input Format

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