Develop Skills in Working with MapReduce with

  • Strong foundation in fundamentals of MapReduce
  • Basic and Advanced MapReduce Programming Skills
  • Techniques to optimize, customize, and test MapReduce tasks

Objective of the Course

Wiley's Working with MapReduce program aims to develop skilled MapReduce Programmers who would be able to

  • Develop efficient MapReduce programs, manipulate distributed files, and use APIs supporting MapReduce programs, so as to process Big Data.
  • Gain hands-on experience of installing and working with Big Data programming tools on real data-sets, through extensive lab-work


Module Details

  • Module Duration: Approx 10 hours of learning and lab work
  • - Module 1: Hadoop and MapReduce Fundamentals
    - Module 2: Processing Data with mapReduce


Resources

  • Videos
  • Lab Environment
  • Assessments

Key Features of the Course

  • Delves deeper into the MapReduce programming operations and elaborates its application
  • Explains how to build and execute MapReduce applications
  • Describes various techniques used to test MapReduce applications
  • Includes Lab exercises to enable you practice the skills learnt


Candidates Eligible for Attending the Course

  • Engineering or MCA students
  • Graduates with programming background
  • Software developers and professionals willing to foray into Big Data technology


Modules can be Customized and Integrated with

  • Corporate Training programs
  • Engineering Curriculum


Pre-Requisites for Attending the Course

  • Basics of programming language
    • Concepts of OOP
    • Basics of scripting language, familiarity with PERL or RUBY would be an added advantage
  • Basics of Linux/Unix operating systems
  • Understanding of programming with Java
    • Core java


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