Objective Of PDP

We are in the age of internet. The explosion of data in the Internet in various forms like structured, unstructured and semi structured has led the processing, a challenging task by traditional databases. The phrase "Big Data" has come into existence in recent times because of the sheer volume of data being generated by social media like whatsapp, facebook, online shopping and many more fields, Businesses have realized that analysing this huge volume of data can give extremely valuable insights that can help them drive revenues or profits or customer loyalty. Big Data Analytics is the process of examining large streaming data sets to uncover the hidden patterns, Market trends, user preferences, business information and the list is not exhaustive. Crunching big data has become imperative and provides competitive advantage to all industries vertical. The challenges encountered in Big Data Analytics are data analysis, capture, curing, storage visualization, querying etc. Big Data Analytics lends itself to large variety of use cases across multiple industries. The objective of this FDP is to elicit the technical challenges in performing Big Data Analytics". It aims to discuss the opportunities and challenges of big data and its related issues.


Topics to be discussed

The major topics that would be covered day wise in FDP are:

Day 1: Relevance to Hadoop Ecosystem: Real grass root level scenarios Ethernal truth about the THREE TIER ARCHITECTURE and changing needs of enterprise IT. Data Center internals (How to build a modern Data Center on Moon)
Installation
File systems inside out

Day 2: Big Data Ecosystem Hadoop Basics HDFS Mapreduce Introduction to Architecture and role of Hadoop ecosystem components Mango DB Cassandra Neo4j

Day 3: Data Science Shebang Text classification BI life cycle The unimportance of R and Python

Click Here For Complete Schedule

Main Technologies

Big Data

As a Service

Hadoop

As a Service

No SQL

As a Service

IoT

As a Service

Chief Patrons

Prof. Vinay Kumar Pathak

Vice Chancellor, APJAKTU, Lucknow

Professional/Academic/Administrative Member of various public/ private institution's' committees and Chairman of Expert Committee for accreditation of a few Colleges /Universities of Engineering and Technology in private sector.

Shri Ashu Goel

Founder and Managing Trustee

ABESIT (ABES Institute Of Technology)
July 2006 – Present (10 years 1 month)
Managing Trustee

Patrons

Prof. (Dr.) Vipin Garg

Advisor ABESIT

Ph.D. from Karnataka University, Dharwad; Post Doctoral Research work for Punjab University, Chandigarh as National Associate of UGC, started his Teaching Career in 1972 from Roorkee, possesses 40 years of Teaching and Administrative experience with India’s leading Institutions.

Prof. (Dr.) Bhavesh Kumar Chauhan

Director ABESIT
Ph.D.(Electrical Engineering), MIEEE, LMISTE, MIACSIT, MIAE

He is an Electrical Engineering graduate of Aligarh Muslim University. He has been awarded Ph.D. by GBTU, Lucknow for his research work on ‘Short term Load forecasting using AI techniques’; He carried out his research work at IIT Delhi.

Convenors

Prof. (Dr.) Dilkeshwar Pandey

Professor & Head (Department of Computer Science & Information Technology) ABESIT

He is a graduate of BIT Sindri, Ranchi University and Post graduate of Delhi College of Engineering, Delhi University. He has been awarded Ph.D. in the area of Image Processing & Pattern Recognition (Image Retrieval and Indexing) by DCRUST, Murthal (Haryana). He has been awarded National Merit Scholarship throughout undergraduate and graduate level.

Prof. Sandeep Garg

Professor and Head-ABESIT Centers for Excellence & Innovations
M.E. (Machine Design), IIT-Roorkee
B.E. (Mechanical Engineering)

Prof. Sandeep Garg possesses a vast experience of 29 years in the field of industry and academics. He has devoted 24 years to different industries globally in various capacities and has around 05 years of experience in academia.

Program Co-ordinators

Mr. Sumit Kumar

Associate Professor
Ph.D.*, M.Tech. (CSE), B.Tech. (CSE)

Ms. Shivani Sharma

Assistant Professor
Ph.D.*, M.Tech. (IT), B.Tech. (IT)