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CE-803 (B) RGPV B.Tech

Data Analytics (DA)

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

Previous Year Papers

1 paper, latest May 2023

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Syllabus, notes and important questions for CE-803 (B)

Syllabus units

Topics as the official RGPV syllabus lists them.

Unit 1 Descriptive Statistics 5 topics
  • Probability Distributions
  • Inferential Statistics
  • Inferential Statistics through hypothesis tests
  • Regression & ANOVA
  • Regression ANOVA (Analysis of Variance)
Unit 1 notes
Unit 2 Introduction to Big Data 14 topics
  • Big Data and its Importance
  • Four V’s of Big Data
  • Drivers for Big Data
  • Introduction to Big Data Analytics
  • Big Data Analytics applications
  • Hadoop’s Parallel World
  • Data discovery
  • Open source technology for Big Data Analytics
  • Cloud and Big Data
  • Predictive Analytics
  • Mobile Business Intelligence and Big Data
  • Crowd Sourcing Analytics
  • Inter- and Trans-Firewall Analytics
  • Information Management
Unit 2 notes
Unit 3 Processing Big Data 5 topics
  • Integrating disparate data stores
  • Mapping data to the programming framework
  • Connecting and extracting data from storage
  • Transforming data for processing
  • Subdividing data in preparation for Hadoop Map Reduce
Unit 3 notes
Unit 4 Hadoop MapReduce 9 topics
  • Employing Hadoop Map Reduce
  • Creating the components of Hadoop Map Reduce jobs
  • Distributing data processing across server farms
  • Executing Hadoop Map Reduce jobs
  • Monitoring the progress of job flows
  • The building blocks of Hadoop Map Reduce
  • Distinguishing Hadoop daemons
  • Investigating the Hadoop Distributed File System
  • Selecting appropriate execution modes: local, pseudo-distributed, fully distributed
Unit 4 notes
Unit 5 Big Data Tools and Techniques 10 topics
  • Installing and running Pig
  • Comparison with databases
  • Pig Latin
  • User-Defined Functions (Pig)
  • Data processing operators
  • Installing and running Hive
  • HiveQL
  • Querying data with Hive
  • User-Defined Functions (Hive)
  • Oracle Big Data
Unit 5 notes
Read the full syllabus

Exam insights

Counted from 7 past CE-803 (B) papers.

Marks asked per paper, by unit

  • Unit 1 Descriptive Statistics 15 marks
  • Unit 2 Introduction to Big Data 20 marks
  • Unit 3 Processing Big Data 25 marks
  • Unit 4 Hadoop MapReduce 20 marks
  • Unit 5 Big Data Tools and Techniques 20 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 the 4 V's of Big Data.

    Asked 4 times: 2022, 2023, 2024, 2025

  2. Differentiate between Regression and ANOVA.

    Asked 3 times: 2023, 2024, 2025

  3. Write down the goals of HDFS.

    Asked 3 times: 2023, 2024, 2025

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