Page 81 - B.E CSE Curriculum and Syllabus R2017 - REC

Department of CSE, REC

8. Implement an application that stores big data in Hbase/MongoDB/Pig using Hadoop/R.
9. Install, Deploy & Configure Apache Spark Cluster. Run Apache Spark applications using Scala.

TOTAL: 60 PERIODS

OUTCOMES:
On successful completion of this course, the student will be able to:
● Process big data using Hadoop framework.
● Build and apply linear and logistic regression models.
● Perform data analysis with machine learning methods.
● Perform graphical data analysis.
● Create applications for big data analytics.

LAB EQUIPMENT FOR A BATCH OF 30 STUDENTS:
Hardware: PC with 8 GB RAM, i3 Processor
Software: Hadoop, R package, Hbase, MongoDB

Curriculum and Syllabus | B.E. Computer Science and Engineering | R2017 Page 81