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EX-803 (D) RGPV B.Tech

Data Analytics (DA)

The official syllabus is free to read, no account needed.

Syllabus, notes and important questions for EX-803 (D)

Syllabus units

Topics as the official RGPV syllabus lists them.

Unit 1 Descriptive Statistics 5 topics
  • Probability distributions
  • Inferential statistics
  • Hypothesis testing
  • Regression analysis
  • Analysis of variance (ANOVA)
Unit 1 notes
Unit 2 Introduction to Big Data 14 topics
  • Big data and its importance
  • Four V’s of big data (volume, velocity, variety, veracity)
  • Drivers for big data adoption
  • Overview of big data analytics
  • Big data analytics applications
  • Hadoop’s parallel computing model
  • Data discovery techniques
  • Open‑source technologies for big data analytics
  • Cloud integration with big data
  • Predictive analytics in big data
  • Mobile business intelligence
  • Crowd‑sourcing analytics
  • Inter‑ and trans‑firewall analytics
  • Information management for big data
Unit 2 notes
Unit 3 Processing Big Data 5 topics
  • Integration of heterogeneous data stores
  • Mapping data to programming frameworks
  • Data extraction from storage systems
  • Data transformation for processing pipelines
  • Data partitioning for Hadoop MapReduce
Unit 3 notes
Unit 4 Hadoop MapReduce 6 topics
  • Designing Hadoop MapReduce jobs
  • Distributed data processing across server farms
  • Monitoring and managing MapReduce job flows
  • Components and daemons of the Hadoop ecosystem
  • Hadoop Distributed File System (HDFS) architecture
  • Execution modes: local, pseudo‑distributed, fully distributed
Unit 4 notes
Unit 5 Big Data Tools and Techniques 8 topics
  • Installation and execution of Apache Pig
  • Pig Latin scripting language
  • User‑Defined Functions (UDFs) in Pig
  • Data processing operators in Pig
  • Installation and execution of Apache Hive
  • HiveQL query language
  • User‑Defined Functions (UDFs) in Hive
  • Oracle Big Data platform overview
Unit 5 notes
Read the full syllabus

Exam insights

Counted from 5 past EX-803 (D) papers.

Marks asked per paper, by unit

  • Unit 1 Descriptive Statistics 7 marks
  • Unit 2 Introduction to Big Data 8 marks
  • Unit 3 Processing Big Data 0 marks
  • Unit 4 Hadoop MapReduce 0 marks
  • Unit 5 Big Data Tools and Techniques 7 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. Discuss the applications of big data analytics in various domains.

    Asked 12 times: 2025, 2023

  2. Explain predictive analytics in big data.

    Asked 2 times: 2025, 2023

  3. Explain regression analysis.

    Asked 1 times: 2023

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