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MSC Semester III - Big Data Analytics
Updated on Sep, 2026
Programming, Data Science, Big Data
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overview of Big Data: what is Big Data Evolution ol'Big Data, Structuring Big Data, Elements ol
Big Data. I3ig Data Analytics. Exploring the Use ol Big Data in Business Context: Use of Big Data
in Social Networking. Use of Big Data in Preventing Fraudulent Activities, Use of Big Data in
Detecting Fraudulent Activities in the Insurance Sector. Use of Big Data in Retail Industry.
introducing Technologies for Handling Big Data: Distributed and Parallel Computing for Big Data.
introducing Hadoop. Understanding Hadoop Ecosystem: Hadoop Ecosystem. HDFS, Map Reduce.
Hadoop YARN. HBase. Hive, Pig and Pig Latin, Sqoop. ZooKeeper, Flume, Oozie.
understanding MapReduce Fundamentals and HBase: The MapReduce Framework, Techniques to
optimize MapRedr.rce Jobs. Role of HBase in Big Data Processing. Exploring the Big Data Stack,
Virtualization and Big Data, Virtualization Approaches.
Storing Data in Databases and Data warehouses: RDBMS and Big Data, Non-Relational Database,
integrating Big Data with traditional Data warehouses. Big Data Analysis and Data warehouse,
Changing Deployment Models in Big Data Era.
Processing Your Data with MapReduce: Developing Simple MapReduce Application points to
Consider while Design in MapReduce.
customizing MapReduce Execution: controlling MapReduce Execution with InputForrnat,
Reading Data with Custom RecordReader. organizing output Data
customizing Data with Recordwriter. optimizing MapReduce Execution* with combiner,
implementing a MapReduce Program for Soning Text Data.
Understanding Hadoop YARN Architecture: introduction yARN, Advantages of yARN, yARN
Architecture. Working of YARN.
Exploring Hive: Introducing Hive, getting Started '" with Hive, Hive Services, Data Types in Hive,
Builrln Functions in Hive. Hive DDL, Data Manipulation irr Hive, Data Retrieval queries, Using
Analyzing Data with Pig: Introducing Pig, Running pig. catering Starred with pig Latin, working
with operators in Pig. working with Functions in Pig, Debugging Pig, and Error Handling in pig.
Usingoozie: introducing oozie, installing and configuring oozie, understanding the oozie
Workfl ow. Simple Application.
NoSQL Data Management: introduction to NoSQL, Types of NoSeL Data Models, Schenra-Less
Databases. Materialized views. Distributed Models. Sharding. MapReduce partitioning and
Combining. Composing MapReduce Calculations.
Understanding Analytics and Big Data: Conrparing Reponing and Analysis, Types of Analytics.
Developing an Analytic Team. Analytical Approaches and tools to Analyze Data: Analytical
Approaches. History of Analytical Tools, Introducing Analytical Tools, Comparing Various
Check out the detailed breakdown of what’s inside the course
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