Type of course:
Digital learning, Lesson
Language:
EN
Duration:
15 minutes
Workload:
Array hour
Proficiency:
Beginner
Target:
Professionals, Manager, Students
SUMMARY
In this lesson, we will provide a complete scheme of the stages through which data travels and the components of a Big Data setup. The course explores different tools of the Big Data setup and compares the characteristics of different tools. Participants will learn the fundamental components of Big Data setup defined as data routing, data storage, processing and analysis, and data visualization. We will make a comparison between different paradigms of databases and data models. Querying examples will be provided to explore the aspects of given software tools. At the end, we will have constructed the complete journey from data sources to end users in a Big Data setup.

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 construct the complete journey from data sources to end users in a big data setup
- By the end of this lesson, students will be able to define each component of the big data journey with software examples that can be used to implement the given component.
- By the end of this lesson, students will be able to list at least 2 software solutions for each of the components of a big data setup.
Course Content
Topics
Digital Transformation, Artificial Intelligence (AI), Big Data, Digital Twin
Tags
Digital twin, Big Data