Big Data Analytics detailed syllabus for Master of Computer Applications (MCA), R20 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 R20 regulation JNTUH, visit Master of Computer Applications 2nd Year 2nd Sem R20 Scheme.
For all the (Professional Elective-3) subjects refer to Professional Elective-3 Scheme. The detail syllabus for big data analytics is as follows.
Prerequisites:
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Course Objectives:
- To understand about big data.
- To learn the analytics of Big Data.
- To Understand the Map Reduce fundamentals.
Course Outcomes:
- Student understands the working of Android OS Practically.
- Student will be able to develop Android user interfaces.
- Student will be able to develop, deploy and maintain the Android Applications.
Unit -I
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Unit -II
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 Approach and Tools to Analyze Data: Analytical Approaches; History of Analytical Tools; Introducing Popular Analytical Tools; Comparing Various Analytical Tools.
Unit -III
Understanding Map Reduce Fundamentals and HBase: The Map Reduce Framework; Techniques to Optimize MapReduce Jobs; Uses of MapReduce; Role of HBase in Big Data Processing; Storing Data in Hadoop : Introduction of HDFS, Architecture, HDFC Files, File system types, commands, org.apache.hadoop.io package, HDF, HDFS High Availability; Introducing HBase, Architecture, Storing Big Data with HBase , Interacting with the Hadoop Ecosystem; HBase in Operations-Programming with HBase; Installation, Combining HBase and HDFS.
Unit -IV
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Unit -V
Social Media Analytics and Text Mining: Introducing Social Media; Key elements of Social Media; Text mining; Understanding Text Mining Process; Sentiment Analysis, Performing Social Media Analytics and Opinion Mining on Tweets; Mobile Analytics: Introducing Mobile Analytics; Define Mobile Analytics; Mobile Analytics and Web Analytics; Types of Results from Mobile Analytics; Types of Applications for Mobile Analytics; Introducing Mobile Analytics Tools;
Text Books:
- Big Data and Analytics, Seema Acharya, Subhasinin Chellappan, Wiley publications.
- Big Data, Black BookTM, DreamTech Press, 2015 Edition.
- Business Analytics 5e, BY Albright |Winston.
Reference Books:
For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier..
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.