Welcome to the website of the "Enterprise Platform and Integration Concepts" (EPIC) group.
Our activities are focused on the following research topics:
In-Memory Data Management for Enterprise Applications
Human-Centered Software Design and Engineering
In-Memory Data Management for Life Sciences
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Our group includes PostDocs, PhD students, and student assistants, and is headed by Prof. Dr. Hasso Plattner. If you are interested in our work or want to join our team, please contact Dr. Matthias Uflacker.
Our team is giving a series of lectures and seminars with a focus on enterprise systems design and in-memory data management. Strong links to the industry ensure a close connection between theory and its implementation in the real world.
Our research focuses on the principles of in-memory data management on modern hardware and the integration of different hard- and software systems to meet business requirements. This involves studying the conceptual and technological aspects of modern enterprise applications as well as tools and methods for enterprise systems design.
We continually strive to translate our research into practical outputs that improve the quality of enterprise applications. A close link to industry partners ensures relevance and impact of our work. Get here an overview of our current and previous projects.
In the recent years, causality has grown from a nebulous concept into a mathematical theory based on the concept of probabilstic graphical modeling. Nevertheless, the complexity of the theoretical concepts and the requirements of current algorithms hinders the application of causal inference in practise. Therefore, our research project Data-Driven Causal Inference adresses these challenges by improvements in both the application of statistical concepts and the acceleration of hard- and software.
Hesse, G., Matthies, C., Glass, K., Huegle, J., Uflacker, M.: Quantitative Impact Evaluation of an Abstraction Layer for Data Stream Processing Systems.IEEE International Conference on Distributed Computing Systems (ICDCS). pp. 1381-1392 (2019).
Matthies, C., Huegle, J., Dürschmid, T., Teusner, R.: Attitudes, Beliefs, and Development Data Concerning Agile Software Development Practices.Proceedings of the 41st International Conference on Software Engineering Companion (ICSE'19) (2019).
Schmidt, C., Huegle, J., Uflacker, M.: Order-independent constraint-based causal structure learning for gaussian distribution models using GPUs.SSDBM '18 Proceedings of the 30th International Conference on Scientific and Statistical Database Management. p. 19:1--19:10. ACM, New York, NY, USA (2018).
We are proud to announce " A Course in In-Memory Data Management" by Prof. Dr. h.c. Hasso Plattner. This book is the culmination of six years work of in-memory research. As such, it provides the technical foundation for combined transactional and analytical workloads inside one single database as well as examples of new applications that are now possible given the availability of the new technology. The book is available at Springer.
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