Big Data Rewind - 2 | MapReduce Tutorial | Hadoop MapReduce Example | Big Data Training | Edureka

🔥 Edureka PGP in Big Data: edureka.co/post-graduate/big-data-engineering
This Edureka MapReduce Tutorial will help you understand the basic concepts of Hadoop's processing component - MapReduce.

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Become an expert in the exciting new world of Big Data, get trained in cutting edge technologies, and work on real-life industry-grade projects.

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Why BIG Data?

The adoption of Big Data is growing across industries, which has resulted in an increased demand for Big Data Engineers. However, the supply is inadequate, leading to a large number of job opportunities. In this environment, professionals with appropriate skills can command higher salaries.

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PG Program in Big Data Engineering

1. Ranked 2nd among NITs by MHRD
2. Recognized as an Institute of National Importance
3. Ranked among the Top 150 universities in Asia by Times Higher Education World University Rankings

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Program Features

1. Mentorship from NITR faculty
2. Placement Assistance
3. Alumni Status
4. Industry Networking

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Industry Projects

1. Retail: Forecasting Trends and Demand
2. Finance/Banking: Predictive Analytics & Fraud Detection
3. Social Media: Sentiment Analysis

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Mentors & Instructors

Ashok Kumar Turk
Professor | NITR

Bibhudatta Sahoo
Associate Professor | NITR

Korra Sathya Babu
Assistant Professor Grade-I | NITR

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Is this program for me?

If you’re passionate about Big Data Engineering and want to pursue a career in this field, this program is for you. Whether you’re a fresher or a professional, this program is designed to equip you with the skills you need to rise to the top for a career in Big Data Engineering.


Is there any eligibility criteria for this program?

A potential candidate must have a Bachelor’s Degree preferably in BCA, MCA, and B.Tech.


Will I get any certificate at the end of the course?

Yes, you will receive a Post-Graduate industry-recognized certificate from NIT Rourkela upon the successful completion of the course.


For more information, Please write back to us at [email protected] or call us at IND: +91-9606058418 / US: 18338555775 (toll-free).