CS-702 (D) · Big Data/Official Syllabus
Big Data (CS-702 (D)) - Official Syllabus (CS-702)
1
Unit 1
UNIT-1 :
- 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
UNIT- 2 :
- 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
UNIT-3 :
- 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
UNIT-4 :
- 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
UNIT-5 :
- 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.
6
Unit 6
== END OF UNITS==
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