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BCA Semester VI - Big Data Analytics

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BCA Semester VI - Big Data Analytics

BIG DATA ANALYTICS

updated on icon Updated on Jan, 2026

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Course Description

Unit- I Introduction: 

What Is Big Data and Why Is It Important? A Flood of Mythic “Start-Up” Proportions, Big Data Is More Than Merely Big Why Now? A Convergence of Key Trends , Relatively Speaking , A Wider Variety of Data, The Expanding Universe of Unstructured Data. 

Unit-II Big Data Technology: 

The Elephant in the Room: Hadoop’s Parallel World. Old vs. New Approaches, Data Discovery: Work the Way People’s Minds Work, Open-Source Technology for Big Data Analytics, The Cloud and Big Data, Predictive Analytics Moves into the Limelight. 

Unit-III A Brief History of Hadoop:

Apache Hadoop and the Hadoop Ecosystem. MapReduce: Analyzing the Data with Hadoop, Map and Reduce, Java MapReduce, Scaling Out, Data Flow, Combiner Functions, Running a Distributed Map Reduce Job, Hadoop Streaming, The Hadoop Distributed File system ,The Design of HDFS, HDFS Concepts, Blocks, Name nodes and Data nodes 


BCA Semester VI - Big Data Analytics

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