Syllabus – SNS Courseware

23MCT305 – Data Analytics in Automation System

UNIT – 1 – INTRODUCTION TO BIG DATA AND AUTOMATION SYSTEMS

Evolution of Big data – Big data characteristics – Big data Use Cases – Big data Applications ᎓ Overview of automation systems and their components – Industry 4.0 and the role of data-driven decision-making – Importance of big data analytics in automation and industrial applications

UNIT-2-DATA PREPARATION AND VISUALISATION

Data acquisition and storage for automation systems. Handling sensor data and log files in automation systems. Data Pre-processing techniques for Automation sensor data – visualization and data exploration using Tableau

UNIT- 3 -DATA ANALYTICS

Introduction to Data Analytics – Basic and intermediate analysis, linear and logistic regression, decision tree.

UNIT-4-MANAGING HADOOP FILE

Introduction to Hadoop ᎓ Anatomy of Hadoop ᎓ Hadoop Distributed File System ᎓ Map Reduce – Hadoop scalability – Vertical Scalability, Horizontal Scalability – Installation and execution of Hadoop ᎓ Stand-alone mode, Pseudo Distributed Mode and Fully Distributed Mode

UNIT – 5 – CASE STUDIES, INDUSTRIAL APPLICATIONS & EMERGING TRENDS

Real-world use cases in manufacturing, smart grids, healthcare automation, and logistics. Industrial Applications: Predictive maintenance and condition monitoring, Process optimization using data analytics Emerging Trends: Advances in data analytics technologies for automation. Role of digital twins in data analytics. Future trends and innovations in Industry 5.0.

Reference Book:

1 EMC Education Services, “Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data”, Wiley publishers, 2015.

2 Business Intelligence and Analytic Trends for Today’s Businesses”, Wiley, 2013.

3 E. Capriolo, D. Wampler, and J. Rutherglen, “Programming Hive”, O’Reilley, 2012

4 EMC Education Services, “Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data”, Wiley publishers, 2015.

5 A Gerardus Blokdyk, ᎜Robotic Process Automation Rpa A Complete Guide ᎜, 2020

Text Book:

1 Michael Minelli, Michelle Chambers, and AmbigaDhiraj, “Big Data, Big Analytics: Emerging Business Intelligence and Analytic Trends for Today’s Businesses”, Wiley, 2013

2 David Loshin, “Big Data Analytics: From Strategic Planning to Enterprise Integration with Tools, Techniques, NoSQL, and Graph”, 2013