Syllabus - Big Data (CS702 (D))

Computer Science and Engineering

Big Data (CS702 (D))

VII-Semester

Unit1

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

Unit2

Introduction to Hadoop, Core Hadoop components, Hadoop Eco system, Hive Physical Architecture, Hadoop limitations, RDBMS Versus Hadoop, Hadoop Distributed File system, Processing Data with Hadoop, Managing Resources and Application with Hadoop YARN, MapReduce programming.

Unit3

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, Data types in Pig running Pig, Execution model of Pig, Operators, functions,Data types of Pig.

Unit4

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

Unit5

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

Course Outcome

["Students should be able to understand the concept and challenges of Big data.", "Students should be able to demonstrate knowledge of big data analytics.", "Students should be able to develop Big Data Solutions using Hadoop Eco System", "Students should be able to gain hands-on experience on large-scale analytics tools.", "Students should be able to analyse the social network graphs."]

Practicals

Reference Books

  • RadhaShankarmani, M. Vijaylakshmi, " Big Data Analytics", Wiley, Secondedition

  • Seema Acharya, SubhashiniChellappan, " Big Data and Analytics", Wiley, Firstedition

  • KaiHwang,Geoffrey C., Fox. Jack, J. Dongarra, “Distributed and Cloud Computing”, Elsevier, Firstedition

  • Michael Minelli, Michele Chambers, AmbigaDhiraj, “Big Data Big Analytics”,Wiley