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