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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.
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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
start on 27th Sept 2014
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[su_tab title = “Faculty”]
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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