Big Data Analytics Course Details – BCS714D

BIG DATA ANALYTICS

Semester 7 | Course Code: BCS714D

CIE Marks

SEE Marks

Total Marks

100

Credits

Teaching Hours/Week (L:T:P:S)

3:0:0:0

Total Hours of Pedagogy

Exam Hours

Examination Nature (SEE)

Theory

BCS714D Big Data Analytics

MODULE-1

Big Data Analytics – Introduction & Environment: Classification of data, characteristics, evolution and definition of big data, traditional business intelligence vs big data, typical data warehouse and Hadoop environment, big data analytics types and importance, technologies in big data environments, key analytical tools, NoSQL, and Hadoop.

MODULE-2

Big Data Analytics – Hadoop & MapReduce: Hadoop motivation and overview, RDBMS vs Hadoop, HDFS concepts, processing data with Hadoop, resource and application management using YARN, and MapReduce programming concepts including mapper, reducer, combiner, partitioner, searching, sorting, and compression.