This four-part seminar focuses on the technology, structure, and use of Big Data systems. It begins with the fundamentals of cluster technology and scalable, high-availability data. Subsequent sessions deal with systems and libraries for data storage and processing related to these topics. Concepts and functionalities are explained and demonstrated. Participants will learn how to install and use these systems locally. Using Python examples, participants will be familiarised with the systems and will be able to assess their areas of application.

• Introduction to Big Data: Scalable, Highly Available Storage and Systems
• Efficient Data Processing with Spark
• Key-Value and Wide Column Stores for Fast Access
• Data Understanding and Visualisation

About the trainer: Karl-Heinz Sylla works as a Senior Scientist at Fraunhofer IAIS. He is a system architect and serves as project lead for both industrial and research projects, as well as a seminar instructor and speaker on topics related to software engineering.
His current work focuses on the architecture and design of big data systems and their application-specific implementations.