Big Data Analytic

MIET-IBM CE – Enablement Program – Big Data Analytics

About Program :This course, developed specifically for the 3rd year students will teach how to capture structured, semi-structured and unstructured data from several different data source types using IBM InfoSphere BigInsights and then do manipulations and analysis on the gathered data. This course will focus on using the Graphical User Interface of InfoSphere BigInsights to collect, manipulate, analyze, view and export data.
IBM® InfoSphere® BigInsights™ is an analytics platform, based on open source Apache Hadoop, for analyzing massive volumes of unconventional data in its native format. The software enables advanced analysis and modeling of diverse data, and supports structured, semi-structured and unstructured content to provide maximum flexibility


Prerequisite Hands-on experience in Core Java
1. Working knowledge of Data Base Management System
2. Basic Understanding of Distributed Systems
3. Experience of Linux environment
Eligible Branches 2 nd and 3rd year students of CSE/IT and MCAs or others Interested Eligible Students (Year): Same as above.
Program time Just after End Semester Examinations (Winter & Summers)
Duration Four Week
Open to outside students Yes
Courseware Yes (Courseware for Big Data Analytics is required for this session. The Courseware shall be provided by IBM Career Education Team. )
Evaluation if Any Yes (Project Based)
Evaluation if Any Yes (Project Based)
Course Coordinators ABHILASH, Associate Professor, Deptt. Of IT, MIET, Meerut, abhilash.sharma@miet.ac.in, 09412311727

Program Schedule (day wise)

Day Session -1 9.30 AM to 12.30 PM BREAK Session -2 01.30 PM to 04.30 PM
Day 1 Introduction to Data Base Management System Introduction to Data Base Management System
Day-2 Introduction to Data Warehouse & Data Mining Core Java
Day-3 Introduction to Big Data Core Java
Day-4 IBM COGNOS IBM COGNOS LAB
Day-5 IBM COGNOS IBM COGNOS LAB
Day-6 IBM COGNOS IBM COGNOS LAB
Day-7 IBM COGNOS IBM COGNOS LAB
Day-8 APACHE HADOOP APACHE HADOOP LAB
Day-9 APACHE HADOOP APACHE HADOOP LAB
Day-10 APACHE HADOOP APACHE HADOOP LAB
Day-11 Introduction to MAP REDUCE MAP REDUCE LAB
Day-12 MAP REDUCE MAP REDUCE LAB
Day-13 MAP REDUCE MAP REDUCE LAB
Day-14 BIG SQL + BIG SHEETS BIG SQL + BIG SHEETS
Day-15 BIG SQL + BIG SHEETS BIG SQL + BIG SHEETS
Day-16 to Day-30 Project Submission (Report + Code) Project Submission (Report + Code)

Head of Department Course Coordinator
Prof. Pradeep Pant
Mr. Abhilash