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
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 technical aspects of enterprise software and the integration of different software systems to meet the requirements of industry and users. This involves studying the conceptual and technological aspects of in-memory data management, concepts of modern enterprise applications, and tools and methods for development.
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.
Footprint Reduction and Uniqueness Enforcement with Hash Indices in SAP HANA.Faust, Martin; Boissier, Martin; Keller, Marvin; Schwalb, David; Bischoff, Holger; Eisenreich, Katrin; Färber, Franz; Plattner, Hasso in Database and Expert Systems Applications: 27th International Conference, DEXA 2016, Porto, Portugal, September 5-8, 2016, Proceedings, Part II (2016). 137--151.
And all of a sudden: Main Memory Is Less Expensive Than Disk.Boissier, Martin; Meyer, Carsten; Uflacker, Matthias; Tinnefeld, Christian in Big Data Benchmarking, T. Rabl, Sachs, K., Poess, M., K. Baru, C., Jacobsen, H. -A. (reds.) (2015). (1st ed, Vol. 8991) 132-144.
Dynamic and Transparent Data Tiering for In-Memory Databases in Mixed Workload Environments.Meyer, Carsten; Boissier, Martin; Michaud, Adrian; Vollmer, Jan Ole; Taylor, Ken; Schwalb, David; Uflacker, Matthias; Roedszus, Kurt (2015).
Using non-volatile RAM for inherent persistence and fast recovery of an in-memory database.Schwalb, David; BK, G.; Faust, Martin; S, A.; Dreseler, Markus; Hohl, A.; Berning, Tim; Makkar, G.; Deshmukh, P. (2015).
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.