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CS-702 (D) RGPV B.Tech

Big Data (BD)

Previous year papers and the official syllabus are free to read, no account needed.

Previous Year Papers

5 papers, latest Dec 2025

Free
See all 5 papers

Syllabus, notes and important questions for CS-702 (D)

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 1 notes
Unit 2 Hadoop Ecosystem and Processing 10 topics
  • 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
Unit 2 notes
Unit 3 Hive and Pig for Data Processing 13 topics
  • 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, and data types of Pig
Unit 3 notes
Unit 4 NoSQL Databases 5 topics
  • Introduction to NoSQL
  • NoSQL Business Drivers
  • NoSQL Data architectural patterns
  • Variations of NoSQL architectural patterns using NoSQL to Manage Big Data
  • Introduction to MangoDB
Unit 4 notes
Unit 5 Social Network Graph Mining 7 topics
  • Mining social Network Graphs
  • 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
Unit 5 notes
Read the full syllabus

Exam insights

Counted from 4 past CS-702 (D) papers.

Marks asked per paper, by unit

  • Unit 1 Introduction to Big data 14 marks
  • Unit 2 Introduction to Hadoop 33 marks
  • Unit 3 Introduction to Hive 23 marks
  • Unit 4 Introduction to NoSQL 26 marks
  • Unit 5 Mining social Network Graphs 16 marks

Average marks of the questions from each unit in one paper. You answer only some of them, so the total is more than the paper’s maximum.

Asked again and again

  1. Explain social network mining (including social network as a graph), its applications, and recommender systems

    Asked 4 times: 2025, 2024, 2023, 2020

  2. Describe the characteristics / V's of Big Data with examples.

    Asked 3 times: 2024, 2023, 2020

  3. Explain what NoSQL databases are, their key characteristics and advantages

    Asked 3 times: 2024, 2023

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