Comprehensive MAP Reduce Self Paced Certification Training

Comprehensive Mapreduce Self Paced Certification Training

A self-paced course designed by Hadoop Experts to provide the knowledge and skills in the field of MapReduce Framework and help you to solve the use cases by using MapReduce concepts.

MapReduce originally referred to the proprietary Google technology.

Companies like Twitter, LinkedIn, AOL, EBay and Alibaba use MapReduce.

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Comprehensive Mapreduce Self Paced UpComing Batches

Nov-22 - Jan-03

Weekend
SOLD OUT

Timings: 07:00 AM To 10:00 AM (IST)

350.00     Enroll Now

Dec-04 - Jan-15

Weekend
FILLING FAST

Timings: 07:00 AM To 10:00 AM (IST)

350.00     Enroll Now

Dec-25 - Feb-05

Weekday

Timings: 20:30 PM To 23:30 PM (IST)

350.00     Enroll Now
Be future ready. Start learning
Structure your learning and get a certificate to prove it.
Start Learning

Course Curriculum

Comprehensive MapReduce Certification Training

SELF PACED

OL Tech Edu's A self-paced course designed by Hadoop Experts to provide the knowledge and skills in the field of MapReduce Framework and help you to solve the use cases by using MapReduce concepts.

  • WEEK 5-6
  • 10 Modules
  • 6 Hours
Safe Paced

Learning Objectives : In this module, you will understand Hadoop MapReduce framework and the working of MapReduce on data stored in HDFS. You will learn about YARN concepts in MapReduce.
Topics:
  • 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.

Learning Objectives : In this module, you will understand concepts like Input Splits in MapReduce, Combiner & Partitioner and Demos on MapReduce using different data sets.
Topics : 
  • Input Splits in MapReduce.
  • Combiner.
  • Partitioner.
  • Demos on MapReduce.

Learning Objectives : In this module, you will learn Advance MapReduce concepts such as Counters, Distributed Cache, MRunit, Reduce Join, Custom Input Format, Sequence Input Format and how to deal with complex MapReduce programs.
Topics :
  • Counters.
  • Distributed Cache.
  • MRunit.
  • Reduce Join.
  • Custom Input Format.
  • Sequence Input Format.

Program Syllabus

Curriculum

You can also view the program syllabus by downloading this program Curriculum.

Course Certification

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