Big Data Analytics detailed syllabus for Master of Computer Applications (MCA), R22 regulation has been taken from the JNTUH official website and presented for the students affiliated to JNTUH course structure. For Course Code, Subject Names, Theory Lectures, Tutorial, Practical/Drawing, Credits, and other information do visit full semester subjects post given below. The syllabus PDF files can also be downloaded from the universities official website.
For all the other MCA 2nd Year 2nd Sem syllabus for R22 regulation JNTUH, visit Master of Computer Applications 2nd Year 2nd Sem R22 Scheme.
For all the (Professional Elective-3) subjects refer to Professional Elective-3 Scheme. The detail syllabus for big data analytics is as follows.
Course Objectives:
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Course Outcomes:
- Ability to explain the foundations, definitions, and challenges of Big Data and various Analytical tools.
- Ability to program using HADOOP and Map reduce, NOSQL
- Ability to understand the importance of Big Data in Social Media and Mining.
Unit – I
Getting an Overview of Big Data What is Big Data? History of Data Management – Evolution of Big Data, Structuring Big Data, Elements of Big Data, Big Data Analytics, Careers in Big Data, Future of Big Data Technologies for Handling Big Data Distributed and Parallel Computing for Big Data, Introducing Hadoop, Cloud Computing and Big Data, InMemory Computing Technology for Big Data.
Unit -II
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Unit -III
Understanding Analytics and Big Data Comparing Reporting and Analysis, Types of Analytics, Points to Consider during Analysis, Developing an Analytic Team, Understanding Text Analytics Analytical Approaches and Tools to Analyze Data: Analytical Approaches, History of Analytical Tools Introduction to Popular Analytical Tools, Comparing Various Analytical Tools, Installing R
Unit -IV
Data Visualization-I Introducing Data Visualization, Techniques Used for Visual Data Representation, Types of Data Visualization, Applications of Data Visualization, Visualizing Big Data, Tools Used in Data Visualization, Tableau Products Data Visualization with Tableau (Data Visualization-II): Introduction to Tableau Software, Tableau Desktop Workspace, Data Analytics in Tableau Public, Using Visual Controls in Tableau Public
Unit -V
For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
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Text Books:
- Big data, blackbook, dreamtech press, 2015
- Big Data Analytics, SeemaAcharya, Subhashini Chellappan, Wiley 2015.
- Simon Walkowiak, Big Data Analytics with R, Packt Publishing, ISBN: 9781786466457
Reference Books:
- Big Data, Big Analytics: Emerging Business Intelligence and Analytic Trends for Today’s Business, Michael Minelli, Michehe Chambers, 1st Edition, AmbigaDhiraj, Wiley CIO Series, 2013.
- Hadoop: The Definitive Guide, Tom White, 3rd Edition, O’Reilly Media, 2012.
- Big Data Analytics: Disruptive Technologies for Changing the Game, Arvind Sathi, 1st Edition, IBM Corporation, 2012.
For detail syllabus of all other subjects of 2nd Year 2nd Sem Master of Computer Applications, visit MCA 2nd Year 2nd Sem syllabus subjects.
For all MCA results, visit JNTUH MCA all years, and semester results from direct links.