Data Analysis - Big Data Management
This four-part seminar examines the technologies, architectures, and practical use of Big Data platforms.

We begin with the essentials — cluster computing, scalable and highly available storage, and the main consistency models.
Later sessions dive into data-lake architecture and application design patterns.
Essential concepts and features are explained, with presentations supported by illustrative examples.
Participants will be able to assess the concepts and technologies in their own environments.

Topics covered:
• Introduction to Big Data: Scalable, highly available storage
• Architectural patterns for data platforms and applications
• High-speed, parallel processing with Apache Spark
• Key-value and wide-column stores for low-latency access

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.