Introduction to Big Data in the Era of Digital Twins (Pilot)

Type of course:

Digital learning, Lesson

Language:

Duration:

15 minutes

Workload:

Array hour

Proficiency:

Beginner

Target:

Professionals, Manager, Students

SUMMARY

In this lesson, we will provide a foundational understanding of big data and its role into digital twin technology. The course explores how big data drives decision-making and efficiency in real-time systems. Participants will learn the economic value, challenges, and technological tools necessary for leveraging big data within the framework of digital twins, which are essential for enhancing operational efficiency and predictive maintenance.

About The Author

Software Competence Center Hagenberg (SCCH), is a research organization committed to building the bridge between fundamental research and industry. With more than 20 years of experience, SCCH has been bringing the highest value to academic research by implementing feasible solutions to companies around Europe in light of Industry 5.0 and the rise of artificial intelligence. We are composed of a great team of data and software scientists from Austria and many other nationalities, with great experience not only in technical development and implementation but also highly motivated to train our customers to use our solutions.

Learning outcomes

By the end of this lesson, the learner will be able to differentiate the concept of small data and big data and associate the complexity of digital twin systems with the complexity of the data.
By the end of this lesson, students will be able to identify the 6 principles of managing big data, understanding how data volume, velocity, and variety impact digital twin systems.
By the end of this lesson, students will be able to list a set of challenges that experts may encounter in real applications for each of the principles of managing big data.