Big Data Analytics (Dept Elec-II) (2171607)  

5
Credit
3 + 0 + 2
Lect + Tuto + Pract
Teaching Scheme
70 + 20 + 10
ESE + PA + ALA
Theory Marks
20 + 10 + 20
ESE + OEP + PA
Practical Marks
ESE - End Semester Examination, PA - Progress Assessment, ALA - Active Learning Assignments, OEP -Open Ended Problem


Course Outcome
Upon completion of this course, students will be able to do the following:
1. Students will to build and maintain reliable, scalable, distributed systems with Apache Hadoop.
2. Students will be able to write Map-Reduce based Applications.
3.Students will be able to design and build MongoDB based Big data Applications and learn MongoDB query language
4.Students will learn difference between conventional SQL query language and NoSQL basic concepts
5.Students will learn tips and tricks for Big Data use cases and solutions.

Active Learning
Preparation of power-point slides, which include videos, animations, pictures, graphics for better understanding theory and practical work – The faculty will allocate chapters/ parts of chapters to groups of students so that the entire syllabus to be covered. The power-point slides should be put up on the web-site of the College/ Institute, along with the names of the students of the group, the name of the faculty, Department and College on the first slide. The best three works should submit to GTU.