AL-802 (C) RGPV B.Tech
Big Data Analytics (BDA)
Previous year papers and the official syllabus are free to read, no account needed.
Previous Year Papers
2 papers, latest May 2026
Syllabus, notes and important questions for AL-802 (C)
Syllabus units
Topics as the official RGPV syllabus lists them.
Unit 1 Introduction to Big Data 9 topics
- 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 systems
Unit 2 Introduction to Hadoop 9 topics
- Core Hadoop components
- Hadoop ecosystem
- Hive physical architecture
- Hadoop limitations
- RDBMS versus Hadoop
- Hadoop Distributed File System (HDFS)
- Processing data with Hadoop
- Managing resources and applications with Hadoop YARN
- MapReduce programming
Unit 3 Hive and Pig 11 topics
- Hive architecture
- Hive data types
- Hive Query Language (HQL)
- Introduction to Pig
- Anatomy of Pig
- Pig on Hadoop
- Use case for Pig
- ETL processing with Pig
- Data types in Pig
- Execution model of Pig
- Pig operators and functions
Unit 4 NoSQL Databases 5 topics
- Introduction to NoSQL
- NoSQL business drivers
- NoSQL data architectural patterns
- Variations of NoSQL architectural patterns for managing big data
- Introduction to MongoDB
Unit 5 Mining Social Network Graphs 7 topics
- Introduction to social network mining
- Applications of social network mining
- Social networks as graphs
- Types of social networks
- Clustering of social graphs
- Discovery of communities in a social graph
- Introduction to recommender systems