Big Data Analytics BCS714D
Module-wise notes, PYQs, and a built-in resource explorer — everything you need to crack BCS714D in one focused page.
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Module 1 Overview
Classification of data: Characteristics, Evolution and definition of Big data, What is Big data, Why Big data, Traditional Business Intelligence Vs Big Data, Typical data warehouse and Hadoop environment.
Big Data Analytics: What is Big data Analytics, Classification of Analytics, Importance of Big Data Analytics, Technologies used in Big data Environments, Few Top Analytical Tools, NoSQL, Hadoop.
TB1: Ch 1: 1.1, Ch2: 2.1-2.5, 2.7, 2.9-2.11, Ch3: 3.2, 3.5, 3.8, 3.12, Ch4: 4.1, 4.2
Module 2 Overview
Introduction to Hadoop: Introducing hadoop, Why hadoop, Why not RDBMS, RDBMS Vs Hadoop, History of Hadoop, Hadoop overview, Use case of Hadoop, HDFS (Hadoop Distributed File System), Processing data with Hadoop, Managing resources and applications with Hadoop YARN (Yet Another Resource Negotiator).
Introduction to Map Reduce Programming: Introduction, Mapper, Reducer, Combiner, Partitioner, Searching, Sorting, Compression.
TB1: Ch 5: 5.1-5.8, 5.10-5.12, Ch 8: 8.1 - 8.8
Module 3 Overview
Introduction to MongoDB: What is MongoDB, Why MongoDB, Terms used in RDBMS and MongoDB, Data Types in MongoDB, MongoDB Query Language.
TB1: Ch 6: 6.1-6.5
Module 4 Overview
Introduction to Hive: What is Hive, Hive Architecture, Hive data types, Hive file formats, Hive Query Language (HQL), RC File implementation, User Defined Function (UDF).
Introduction to Pig: What is Pig, Anatomy of Pig, Pig on Hadoop, Pig Philosophy, Use case for Pig, Pig Latin Overview, Data types in Pig, Running Pig, Execution Modes of Pig, HDFS Commands, Relational Operators, Eval Function, Complex Data Types, Piggy Bank, User Defined Function, Pig Vs Hive.
TB1: Ch 9: 9.1-9.6, 9.8, Ch 10: 10.1 - 10.15, 10.22
Module 5 Overview
Spark and Big Data Analytics: Spark, Introduction to Data Analysis with Spark.
Text, Web Content and Link Analytics: Introduction, Text Mining, Web Mining, Web Content and Web Usage Analytics, Page Rank, Structure of Web and Analyzing a Web Graph.
TB2: Ch5: 5.2, 5.3, Ch 9: 9.1-9.4
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Frequently Asked Questions
What is BCS714D (Big Data Analytics BCS714D)?
Big Data Analytics BCS714D is a VTU course covered through module-wise syllabus, notes, and PYQ-driven exam practice available on this page.
How many credits is BCS714D?
Credits for BCS714D: 03.
Are notes and previous year question papers available for BCS714D?
Yes. You can access organized notes, PDFs, and PYQ material from the file explorer/resources section on this page.
How should I prepare Big Data Analytics BCS714D for VTU exams?
Start with module summaries, solve recent PYQs unit-wise, and finish with complete paper practice under time constraints for SEE readiness.
Is this BCS714D page updated for current VTU scheme?
Yes, this page is maintained with current scheme-oriented materials and practical exam-focused resource curation.
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About Big Data Analytics (BCS714D)
Big Data Analytics (BCS714D) is a critical course in the VTU curriculum, essential for any student looking to master the foundations of engineering. It covers key theoretical frameworks and practical concepts that are widely used in the industry today, ensuring students are well-prepared for both exams and their future careers.
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