Back close

Course Detail

Course Name Data Base Management for Big Data
Course Code 24CSC333
Program 5 Year Integrated MSc/ BSc. (H) in Mathematics with Minor in Data Science
Semester Elective
Credits 3
Campus Amritapuri

Syllabus

Unit 1

Introduction: Overview of DBMS, File vs DBMS, elements of DBMS. Database design: E-R model, Notations, constraints, cardinality and participation constraints

Unit 2

Relational Data Model: Introduction to relational model, Structure of relational mode, domain,keys, tuples to relational models, sql queries.Relational Database Design: Functional dependency, Normalization: 1NF,2NF,3NF,BCNF,table joins.

Unit 3

Introduction to Big Data: Types of Digital Data – Characteristics of Data – Evolution of Big Data – Definition of Big Data – Challenges with Big Data-3Vs of Big Data – Non Definitional traits of Big Data – Business Intelligence vs. Big Data – Data warehouse and Hadoop environment – Coexistence.

Unit 4

Big Data Analytics: Classification of analytics – Data Science – Terminologies in Big Data – CAP Theorem – BASE Concept. NoSQL: Types of Databases – Advantages – NewSQL – SQL vs. NOSQL vs NewSQL.

Unit 5

Introduction to Hadoop: Features – Advantages – Versions – Overview of Hadoop Eco systems
– Hadoop distributions – Hadoop vs. SQL – RDBMS vs. Hadoop – Hadoop Components – Architecture – HDFS – Map Reduce: Mapper – Reducer – Combiner – Partitioner – Searching – Sorting – Compression. Hadoop 2 (YARN): Architecture – Interacting with Hadoop Eco systems.

Course Objectives and Outcomes

Course outcomes
CO 1: Understand the basic concepts of database and bigdata.
CO 2.: Understand the database models and its implementation techniques.
CO 3: Ability to learn big data implementation platforms
CO 4: Ability to learn data base technologies associated with big data.
CO 5: Ability to apply Data Intensive tasks using the Map Reduce Paradigm

Text / Reference Books

Textbooks:

  • Silberschatz A, Korth H F and Sudharshan S, “Database System Concepts”, Sixth Edition, Tata McGraw-Hill Publishing Company Limited, 2010.
  • Seema Acharya, Subhashini Chellappan, “Big Data and Analytics”, Wiley Publication, 2015.

References:

  1. Judith Hurwitz, Alan Nugent, Dr. Fern Halper, Marcia Kaufman, “Big Data for Dummies”,
  2. John Wiley & Sons, Inc., 2013.
  3. Tom White, “Hadoop: The Definitive Guide”, O’Reilly Publications, 2011.

DISCLAIMER: The appearance of external links on this web site does not constitute endorsement by the School of Biotechnology/Amrita Vishwa Vidyapeetham or the information, products or services contained therein. For other than authorized activities, the Amrita Vishwa Vidyapeetham does not exercise any editorial control over the information you may find at these locations. These links are provided consistent with the stated purpose of this web site.

Admissions Apply Now