Big Data

16cs520

Syllabus

UNIT – I
Big Data Analytics : What is big data, History of Data Management ; Big
Data ; Elements of Big Data ; Big Data Analytics; Distributed and Parallel Computing forBig Data; Big Data Analytics:What is Big Data Analytics, What Big Data Analytics Isn‘t,Why this sudden Hype Around Big Data Analytics, Classification of Analytics, GreatestChallenges that Prevent Business fromCapitalizing Big Data; Top Challenges Facing BigData; Why Big Data Analytics Important; Data Science; Data Scientist; Terminologies used in Big Data Environments; Basically Available Soft State Eventual Consistency
(BASE); Open source Analytics Tools;

UNIT – II
Understanding Analytics and Big Data: Comparing Reporting and Analysis, Types ofAnalytics; Points to Consider during Analysis; Developing an Analytic Team;Understanding Text analytical;

Approach and Tools to Analyze Data: Analytical Approaches; History ofAnalytical Tools; Introducing Popular Analytical Tools; Comparing Various Analytical Tools.

UNIT – III
Understanding MapReduce Fundamentals and HBase:The MapReduce Framework;Techniques to Optimize MapReduce Jobs; Uses of MapReduce; Role of HBase in Big Data Processing; Storing Data in Hadoop : Introduction of HDFS, Architecture, HDFCFiles, File system types, commands, org.apache.hadoop.io package, HDF, HDFS HighAvailability; Introducing HBase, Architecture, Storing Big Data with HBase , Interactingwith the Hadoop Ecosystem; HBase in Operations-Programming with HBase; Installation, Combining HBase and HDFS;

UNIT – IV
Big Data Technology Landscape and Hadoop : NoSQL, Hadoop; RDBMS versusHadoop; Distributed Computing Challenges; History of Hadoop; Hadoop Overview; UseCase of Hadoop; Hadoop Distributors; HDFC (Hadoop Distributed File System), HDFC Daemons, read,write, Replica Processing of Data with Hadoop; Managing Resources and Applications with Hadoop YARN.

UNIT – V
Social Media Analytics and Text Mining: Introducing Social Media; Key elements ofSocial 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; MobileAnalytics and Web Analytics; Types of Results from Mobile Analytics; Types of Applications for Mobile Analytics; Introducing Mobile Analytics Tools;

Materials for Big Data:

Unit-1: View/Download

Unit-2:View/Download

Unit-3:View/Download

Unit-4:View/Download

Unit-5:View/Download

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