Home FDP Big Data Computing & Analytics

FDP on Big Data Computing & Analytics
In association with Dr. A.P.J. Abdul Kalam Technical University, Lucknow
(January 27-31, 2016)

About the Institute Online Brochure

IMS Ghaziabad is a 26 year old flagship institute of IMS Society, Ghaziabad and one of the oldest B- School in North India. IMS Ghaziabad society comprises of 3 Ultra Modern campuses providing quality education in more than 20 program, in areas of Management, Engineering, Bio Technology, Information Technology, Journalism etc with hostel capacity of more than 8500 students. We have a strong three pronged focus on academic quality, corporate interface & holistic development of our students. Institute is located strategically in the NCR, in the heart of an active corporate community. IMS Ghaziabad delivers the real world experience one needs to succeed in today's competitive global marketplace.

It is one of the oldest B School in North India which is accredited by NAAC. IMS Ghaziabad offers full time PGDM Programme which has been awarded the MBA equivalent status by the Association of Indian Universities (AIU) and AICTE. The M.C.A (Master of Computer Applications) Programme is affiliated to Dr. A.P.J. Abdul Kalam Technical University, Lucknow.

Feathers in IMS Cap in the year 2015

  • Best Management Institute for Placements in India by Assocham, December 2015
  • Ranked 2nd in U.P and 15th Top B School of Super Excellence in All over India by CSR GHRDC Survey 2015
  • Best B-School in India – North by Assocham, 2015
  • Best B-School in Placements Award by CEGR, 2015
  • Ranked 8th in North India and 28th in India by Times of India
  • Rated AAA+ by Digital Learning – Asia Premier Magazine


Big data analytics is the process of examining big data to uncover hidden patterns, unknown correlations and other useful information that can be used to make better decisions. With big data Analytics, data scientists and others can analyze huge volumes of data that conventional analytics and business intelligence solutions can't touch. Consider that your organization could accumulate billions of rows of data with hundreds of millions of data combinations in multiple data stores and abundant formats. High-performance analytics is necessary to process that much data in order to figure out what's important and what isn't.

Big data is now a reality: The volume, variety and velocity of data coming into your organization continue to reach unprecedented levels. The Big Data phenomenon has emerged as a result of vast amounts of data that are becoming available across a wide range of application domains across science, business, and government.


The objective is to provide a platform for Researchers and Academicians to learn and create a strong conceptual and technical base regarding Big Data computing and analytics. The FDP will not only take stock of latest trends and developments in Big Data along with related technologies like Map-Reduce, Hadoop, Hive, spark etc. but will also provide future directions to young researchers and practitioners.

Programme Schedule

S. No Date Topics Speakers
Day 1 27/01/2016
Introduction to Big Data Analytics, Mr. Sanjiva Dubey, I.T Strategy and Innovation Expert, IBM, India
Map-Reduce with Exercises on the Map-Reduce framework Mr. Himanshu Gupta, IBM Research, New Delhi
Day 2 28/01/2016
Hadoop Internals - HDFS, Map Reduce using Hadoop Mr. Bhupesh Chawda, Software Developer Data Torrent | Apache Apex (incubating) committer
Hadoop Map Reduce Lab. Learning to develop and run Map Reduce programs
Day 3 29/01/2016
Introduction to Hadoop Ecosystem
Introduction to Next Gen Hadoop - YARN and Related technologies
Day 4 30/01/2016
Hive & Jaql Mr Himanshu Gupta, IBM Research, New Delhi
Spark (Theory + Lab together hand in hand)
Day 5 31/01/2016
Advanced Concepts in Map-Reduce
An overview of map-reduce research

Who all can attend?

The participants can be Faculty members of Engineering and Management Institutes affiliated to Dr. AP.J. Abdul Kalam Tenchnical University Lucknow and other AICTE/ UGC Approved Institutions, Delegations and Research Scholars from Academia, and Industry professional from Delhi NCR region and rest part of the country.


Interested Candidates can register offline by sending a duly filled-in scanned registration form along with a demand draft/banker's cheque in favour of Institute of Management Studies, Ghaziabad, payable at Ghaziabad to fdp@imsgzb.com or you may register Online and pay the fee through NEFT/RTGS submission.

Name of Party Institute of Management Studies
Bank Name and Branch Oriental Bank of Commerce, IMS, Lal Quan , Ghaziabad 201009
IFSC Code ORBC0105146
Bank A/c No. 51461010000010
Through Draft

Draft should be send to Institute Of Management Studies, G.T.Road, Lal Quan, Ghaziabad-201009, National Capital Region, India


  • Maximum 50 participants will be allowed on First cum first serve basis
  • Registration Fee is Rs. 1000/-
  • For outstation candidates Rs. 1000/- extra towards their lodging and boarding expenses

Important Dates

Last date of registration: January 22, 2016

Organizing Committee

Chief Patron

Prof. Vinay Kumar Pathak

(Vice Chancellor, Dr. A.P.J. AKTU, Lucknow)

Sh. Sanjay Agarwal

(Chairman – IMS Society)

Sh Pramod Agarwal

(Managing Trustee - IMS Ghaziabad)


Dr Tapan Kumar Nayak


Chief Convener

Dr. Avadhesh Kumar Gupta

(Head MCA - 9711002899)


Dr. Sheelesh Kumar Sharma

(Associate Professor - IT - 9810747145)


Mr. Sachin Malhotra

(Associate Professor – I.T)
Mobile No. 9818369279

Ms. Sapna Tyagi

(Assistant Professor-I.T)
Mobile No. 9716250110


IMS Ghaziabad
G.T. Road, Lal Quan
Ghaziabad-201 009, National Capital Region, INDIA
Ph. : 0120-4170600 (30 Lines),4170626
Toll Free- 18001024170
E-mail: director@imsgzb.com,fdp@imsgzb.com
Website: www.ims-ghaziabad.ac.in/fdp-big-data-computing-and-analytics.php


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