AD-801 RGPV B.Tech
Big Data (BD)
Previous year papers and the official syllabus are free to read, no account needed.
Previous Year Papers
1 paper, latest Jun 2025
Syllabus, notes and important questions for AD-801
Syllabus units
Topics as the official RGPV syllabus lists them.
Unit 1 Introduction to Big Data 10 topics
- 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
Unit 2 Introduction to Hadoop 9 topics
- 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
Unit 3 Hive and Pig 14 topics
- 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
Unit 4 Introduction to NoSQL 4 topics
- NoSQL Business Drivers
- NoSQL Data architectural patterns
- Variations of NoSQL architectural patterns using NoSQL to Manage Big Data
- Introduction to MongoDB
Unit 5 Mining Social Network Graphs 6 topics
- 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