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ME-803 (A) 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 ME-803 (A)

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 MapReduce
Unit 3 notes
Unit 4 Hadoop MapReduce 9 topics
  • Employing Hadoop MapReduce
  • Creating the components of Hadoop MapReduce jobs
  • Distributing data processing across server farms
  • Executing Hadoop MapReduce jobs
  • Monitoring the progress of job flows
  • The building blocks of Hadoop MapReduce
  • 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
  • Hive QL
  • Querying Data
  • User-Defined Functions (Hive)
  • Oracle Big Data
Unit 5 notes
Read the full syllabus

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