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In this course we will explore other dimensions of Big Data. We will understand the concepts behind MapReduce, the most popular programming model for handling Big Data. To gain more insight and exposure to MapReduce we will look into Hadoop, an open source Java-based MapReduce framework & work out some examples on this framework


This is a well-designed hands-on course, focused on beginners and intermediate programmers. You will learn the following:

  • How big data is different from traditional data?
  • Limitations in existing database systems.
  • Advantages & Limitations of MapReduce.
  • Casting big data problems in MapReduce.

Who should learn Big Data MapReduce Hadoop Course?

This course is for students, professionals & entrepreneurs interested in pursuing a career or building a company in Big Data.


  • Exposure to programming in any language.
  • Notebook with atleast 100 GB Hard Disk, 2 GB RAM preferably running linux.

Duration: 30 hours

Fees: Rs.20, 000

Mode: Online

Important dates:

start on 27th Sept 2014

  • MapReduce
  • Hadoop

Rutvik Doshi: Product Manager, Google

Chida: CEO, OpenOsmium

Himan Mookherjee: Analytics, ebay And Accenture

Ravi Trivedi: CEO, CouponRani

Karthik ShyamSunder: Principal Engineer, Verisgn

Nagendra BomBhore: Analytics, ebay and Intuit

Aakrit Vaish: Director, Flurry

Anupam Shrivastava: Android developer, Jutera

Janice Fraser: CEO, LUXr

Abhinav Shrivastava: CTO, X-Pay

Sameer Dhavale: Mobile developer, google

Prerit Shrivastav: CEO, X-Pay

Shyam Reddy: Digital Marketing, google

Jaineel Aga: Associate, Baring Private Equity Asia

Santosh KS: Senior Product Manager, Nokia

Rajesh Rai: CEO, India Innovation Fund

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