Big Data Analytics (BE, EXTC)

• Module 1, Introduction to BDA

This module introduces the concepts of Big Data Analytics, its importance, and applications in various fields.
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• Module 2, Hadoop

This module covers the Hadoop framework, its architecture, and how it is used for big data processing.
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• Module 3, NoSQL

This module explores NoSQL databases, their types, and use cases in big data applications.
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• Module 4, MapReduce

This module explains the MapReduce programming model and its role in big data processing.
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• Module 5.1, Finding Similar Items

This module discusses techniques for finding similar items in large datasets.
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• Module 5.2, Data Streams

This module covers the processing of data streams and real-time analytics.
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• Module 5.3, Link Analysis

This module explores link analysis techniques and their applications in big data.
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• Module 5.4, Frequent Itemset Mining

This module discusses frequent itemset mining and its importance in data mining.
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• Module 6.1, Recommendation Systems

This module covers the basics of recommendation systems and their implementation.
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