Syllabus - Big Data Analytics (CD603 (A))

Introduction to Big data, Big data characteristics, Types of big data, Traditional versusBig data, Evolution of Big data, challenges with Big Data, Technologies available for BigData, Infrastructure for Big data, Use of Data Analytics, Desired properties of Big Datasystem.

Introduction to Hadoop, Core Hadoop components, Hadoop Eco system, HivePhysical Architecture, Hadoop limitations, RDBMS Versus Hadoop, Hadoop Distributed Filesystem, Processing Data with Hadoop, Managing Resources and Application with HadoopYARN, MapReduce programming.

Introduction to Hive Hive Architecture, Hive Data types, Hive Query Language,Introduction to Pig, Anatomy of Pig, Pig on Hadoop, Use Case for Pig, ETL Processing, Datatypes in Pig running Pig, Execution model of Pig, Operators, functions,Data types of Pig.

Introduction to NoSQL, NoSQL Business Drivers, NoSQL Data architectural patterns,Variations of NOSQL architectural patterns using NoSQL to Manage Big Data, Introductionto MangoDB

Mining social Network Graphs: Introduction Applications of social Network mining,Social Networks as a Graph, Types of social Networks, Clustering of social Graphs DirectDiscovery of communities in a social graph, Introduction to recommender system.