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BIG DATA FUNDAMENTALS

INT312 3 Credits L:2 T:0 P:2 Minor Data Science

This course covers the fundamental concepts and principles of Big Data, the Hadoop ecosystem, and associated tools like Hive, HBase, and Cassandra to analyze and solve big data problems.

Study Units

Unit 1

Introduction to Hadoop

Unit 2

Hadoop Architecture

Unit 3

Map Reduce and YARN

Unit 4

Introduction to Apache Hive

Unit 5

Introduction to Apache HBase

Unit 6

Introduction to Apache Cassandra

Continuous Assessment

2 components

BYOD-Practical 1 50%

To make the students understand the need and importance of fundamental concepts and principles of Big Data and analyze internal functioning of different modules of Big Data and Hadoop

Week 5 / 6
BYOD-Practical 2 50%

To make the students prepare for applying tools and techniques to analyze Big data and examine solution for a given problem using suitable Big data techniques

Week 11 / 12

Exams & Practice

End Term Examination

Final semester comprehensive evaluation

50%

Type: Practical

Coming Soon

INT312 - FAQs

How many units are in INT312?

INT312 has 6 units. Each unit includes detailed notes and MCQ practice questions.

What exam resources are available for INT312?

Unit-wise notes and MCQ practice are available. Exam resources coming soon.

How to prepare for INT312 exams?

Study each unit's notes thoroughly, practice MCQs to test understanding, and attempt mock tests before exams. Focus on important topics and previous year questions.