CS-702 (D) · Big Data/Official Syllabus
Big Data (CS-702 (D)) - Official Syllabus
1
Unit 1
Introduction to Big data
- 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
2
Unit 2
Introduction to Hadoop
- 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
3
Unit 3
Introduction to Hive
- 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
4
Unit 4
Introduction to NoSQL
- Introduction to NoSQL
- NoSQL Business Drivers
- NoSQL Data architectural patterns
- Variations of NOSQL architectural patterns using NoSQL to Manage Big Data
- Introduction to MangoDB
5
Unit 5
Mining social Network Graphs
- 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
Reference Books
- Distributed and Cloud Computing — Kai Hwang, Geoffrey C. Fox, Jack J. Dongarra
- Big Data Big Analytics — Michael Minelli, Michele Chambers, Ambiga Dhiraj
- Big Data Analytics — Radha Shankarmani, M. Vijaylakshmi
- Big Data and Analytics — Seema Acharya, Subhashini Chellappan
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