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Subject Syllabus

AL802 (C) - Big Data Analytics

AIML · Semester 8

Course Modules

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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

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 Map Reduce programming

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

NoSQL Business Drivers NoSQL Data architectural patterns Variations of NOSQL architectural patterns using NoSQL to Manage Big Data Introduction to Mango DB

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