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Course Detail

Course Name Big Data Analytics for Manufacturing
Course Code 24MU643
Program M.Tech. Manufacturing and Automation​
Credits 3
Campus Coimbatore

Syllabus

Unit 1

Introduction – Overview of DBMS – File vs DBMS – elements of DBMS – Relational Data Model – Introduction to relational model – Structure of relational mode – domain – keys – tuples to relational models – SQL – table creation – relationships – basic queries DML and DDL – Joins– Grouping.

Unit 2

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 -Terminologies in Big Data – CAP Theorem – BASE Concept – NoSQL – Types of Databases – Advantages – NewSQL – SQL vs. NOSQL vsNewSQL – Introduction to Hadoop – Features – Advantages – Versions

Unit 3

Overview of Hadoop Eco systems – Hadoop distributions – Hadoop vs. SQL – RDBMS vs. Hadoop – Hadoop Components – Architecture – HDFS – Map Reduce: Mapper – Reducer – Map Reduce – Mapper – Reducer – Combiner – Partitioner – Hadoop 2 (YARN) – Architecture – Interacting with Hadoop Eco systems. No SQL databases – Cassandra: Introduction – Features – Data types – CQLSH – Key spaces – CRUD operations – Collections – Counter – TTL – Alter commands – Import and Export – Querying System tables.

 

Objectives and Outcomes

Course Objectives

  1. To provide an introduction to big data technologies and tools used for big data
  2. Familiarize on the basics of relational databases and its implementation strategy using SQL are discussed in the first phase
  3. Introduce on concepts of big data and its architecture, storage and processing of data in parallel and distributed system
  4. Analyze unstructured data using NOSQL databases

 

Course Outcomes

CO

CO Description

CO1

Identify fundamental concepts of Databases and SQL

CO2

Apply SQL for data storage and retrieval

CO3

Explain fundamental concepts of Big Data and its technologies

CO4

Apply Map reduce programming for big data

CO5

Analyse appropriate NoSQL database techniques for storing and processing large volumes of structured and

unstructured data

 

CO-PO Mapping

 

PO1

PO2

PO3

PO4

PO5

PO6

CO1

3

1

2

 

 

2

CO2

3

1

2

1

 

2

CO3

3

1

2

1

 

2

CO4

3

1

2

1

 

2

CO5

3

1

2

1

 

2

 

Skills Acquired

Data Visuvalization skills, programming and data mining skills, quantitative analysis and problem solving skills.

Text Books / References

  1. Seema Acharya, Subhashini Chellappa, “Big Data and Analytics”, Wiley Publication,
  2. Hurwitz JS, Nugent A, Halper F, Kaufman “Big data for dummies”, John Wiley & Sons; 2013.
  3. White , “Hadoop: The definitive guide“. O’Reilly Media, Inc.”; 2012.
  4. Bradberry R, Lubow , “Practical Cassandra: a developer’s approach”, Addison-Wesley; 2013

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