CSC-522
BS
Introduction to Big Data Analytics
(DE) Domain Elective
Theory: 3 Cr. Hrs
Total: 3 Cr. Hrs
Objectives: Big data platforms, Hadoop distributed file system, MapReduce programming paradigm, YARN cluster management, Apache Scala, and Apache Spark ecosystem.
Contents: Introduction and Overview of Big Data Systems; Platforms for Big Data, Hadoop as a Platform, Hadoop Distributed File Systems (HDFS), MapReduce Framework, Resource Management in the cluster (YARN), Apache Scala Basic, Apache Scala Advances, Resilient Distributed Datasets (RDD), Apache Spark, Apache Spark SQL, Data analytics on Hadoop / Spark, Machine learning on Hadoop / Spark, Spark Streaming, Other Components of Hadoop Ecosystem.
In Programmes
BS
BS (Computer Science)
Electives Pool —
Elective ·
Data Science (Fall 2026 onwards)