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.

If you are having questions regarding one of our publications, please contact the authors.

Research Areas

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 profiting from hybrid transactional and analytical data processing and computational statistics. In customer-centered enterprise software development, the focus is on the end users. Developing solutions tailored to user needs in a timely manner requires well-designed tools and methods for enterprise systems design and engineering. We apply our findings to real-world scenarios and showcase future enterprise applications by developing and evaluating functional prototypes closely together with our industry partners. One particular domain of interest is the application of in-memory data management in life sciences.

Autonomous Database Management (In-Memory Data Management on Modern Hardware)

The increase of computing power with new multi core hardware architectures is about to accomplish new breakthroughs in the software industry. It allows for significant parallelization of application processes with new data management paradigms, as well as in-memory, real-time analytics over massive amounts of data.

Data-Driven Decision Support

Data-driven decision-support for enterprise applications and revenue management (RM) has become highly relevant in recent years as firms face the challenge of integrating data-driven automation in their processes. Specifically, our research group investigates how decision problems can be solved using quantitative methods of operations research and data science in order to improve automated decision-making in the areas of RM and business analytics.

Tools & Methods for Enterprise Systems Design and Engineering

In a business context, a designed product or service is often the most direct channel of communication to the end-user. A good or bad design has an undeniable impact on branding. In effect, design becomes a proxy for the company, where the feeling and emotions that an end-user experiences with what is designed becomes the feelings and emotions that the end-user has for the company.

Open Positions

We are accepting applications for Ph.D. and post-doc positions from exceptional candidates
We welcome highly motivated Bachelor and Master students to join our research projects

27.08.2021 | New MOOC "Enterprise Goes Cloud" is Live on openSAP

Our new MOOC "Enterprise Goes Cloud" went online this Tuesday on openSAP.com. The sessions of Prof. Plattners lecture … > Go to article

19.07.2021 | Bachelor Project Presented Their Dashboard Built on SAP Graph

We are very proud to share the results of our Bachelor Project team consisting of Jannis Rosenbaum, Tim Kuffner, Jessica … > Go to article

04.05.2021 | "Data dependencies for query optimization: a survey" published in VLDBJ

In our latest paper, we quantify the importance of eleven query plan optimizations for the TPC-H benchmark. Knowing … > Go to article

27.04.2021 | Successful PhD Defense of Ralf Teusner on Programming Education in Massive Open

We are happy to announce that Ralf Teusner successfully defended his thesis “Situational Interventions and Peer Feedback … > Go to article

19.11.2020 | Best Paper Award received at CSEE&T 2020

We are happy to announce that our paper "InnoDev Workshop: A One Day Introduction to Combining Design Thinking, Lean … > Go to article

28.07.2020 | "An Experimental Evaluation of Index Selection Algorithms" published in PVLDB

Our recent paper compares and evaluates eight index selection algorithms along different dimensions, such as solution … > Go to article

04.05.2020 | "Quantifying TPC-H Choke Points and Their Optimizations" published in PVLDB

In our latest paper, we quantify the importance of eleven query plan optimizations for the TPC-H benchmark. Knowing … > Go to article

01.05.2020 | Change of Chair Representation

With beginning of May, Dr. Michael Perscheid is becoming the new Chair Representative at the chair of Prof. Dr. Hasso … > Go to article

03.03.2020 | Best Master Thesis in Education Technologies 2019

An expert jury of the German society for computer science awarded Sebastian Serth’s master thesis as the best thesis in … > Go to article

Literature

"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.

Contact

Dr. Michael Perscheid

Chair Representative

Tel.: +49 (331) 5509-566

E-Mail: michael.perscheid(at)hpi.de

Office:

Room: V-2.12

Tel.: +49 (331) 5509-560

Fax: +49 (331) 5509-579

E-Mail: office-epic(at)hpi.de

Contact Details