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Sorry! Comprehensive MapReduce (Self Paced Learning, Lifetime Access to Study Material and E-Certification) by Edureka is sold out.

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Comprehensive MapReduce (Self Paced Learning, Lifetime Access to Study Material and E-Certification) by Edureka

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Highlights

  • Delivery via E-mail
    Non-Cancellable
    No Physical Dispatch
  • Stream:Information Technology
  • Duration:9 Hours For queries and concerns drop an email to learning@snapdeal.com
  • SUPC: SDL874127200

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Country of Origin or Manufacture or Assembly India
Common or Generic Name of the commodity Courses & Certifications
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Description


Detailed Product Description:
MapReduce is the underlying engine of Hadoop. The self-paced Comprehensive MapReduce course is designed for the learners to understand and implement various frameworks of MapReduce. The topics are explained using dedicated examples.

Course Objectives:
After completion of the Comprehensive MapReduce course, you will be able to:
1. Master the concepts of MapReduce framework
2. Learn to write Complex MapReduce programs
3. Program in YARN
4. Program in MapReduce

For Whom?
This course is designed for professionals aspiring to make a career in Big Data Analytics using MapReduce Framework. Software Professionals, Java Developers, Analytics Professionals, ETL developers, Project Managers, Testing Professionals are the key beneficiaries of this course. Other professionals who are looking forward to acquire a good understanding of MapReduce Framework can also opt for this course.

Why learn Comprehensive MapReduce?
Today, when data is mushrooming and coming in heterogeneous forms, there is a growing need for a flexible, adaptable, efficient and cost effective data analytics which will take minimum on-boarding time. Hadoop fits just perfect in this space and MapReduce being the underlying engine for Hadoop needs to be well understood.

Course Curriculum (Structure):
1. Hadoop MapReduce Framework -
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.

2. Hadoop MapReduce Framework - II
Topics - Input Splits in MapReduce, Combiner, Partitioner, Demos on MapReduce.

3. Advance MapReduce
Topics - Counters, Distributed Cache, MRunit, Reduce Join, Custom Input Format, Sequence Input Format.

Content Outline (No. of Chapters/Modules):
9 Hours Self Paced Learning Videos Classes + 15 Hours Assignment

Pre-requisites:
Some of the prerequisites for learning MapReduce include hands-on experience in Core Java and good analytical skills to grasp and apply the concepts in MapReduce.

USP of the product:
• Learn Anytime, Anywhere
• Interesting and easy to understand tutorials
• 24*7 Support
• Best in industry instructors
• Lifetime course material availability



How to use? (Steps to use Study Material):
1. Purchase course on Snapdeal
2. Receive User ID and Password of LMS account from Edureka
3. Schedule lectures from the given slots of batches
4. Start learning

FAQs:
Here you can have a look at our frequently asked questions. We have put together some simple answers you may have, Click here to take a look!


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