Teaching staff: Dr. Matthias Uflacker, Martin Lorenz , Christopher Schmidt
Contact Email: martin.lorenz(at)hpi.de

Enterprise applications are about storing, displaying, manipulating, and analyzing large amounts of often complex data and the support and automation of business processes with that data. By that definition, data is the central aspect of enterprise software that drives the execution of business processes.

In this seminar, we describe characteristics of enterprise applications. In addition, we discuss typical enterprise business processes and elaborate on the requirements of information systems, which support these workflows. We introduce the concept of in-memory computing, which requires a programming model different from traditional disk-based database management systems. It requires a rethinking of how a system architecture needs to be designed and how functionality has to be distributed among the different layers. We furthermore focus on, how enterprise applications are developed and discuss improvements to this programming model.

Exercise 1 CallCenterApplication Slides

Exercise 2 

Ausarbeitung

• Understand
  • What "enterprise applications" are
  • Common business processes
  • Enterprise applications development
  • In-Memory Database technology
• Do
  • Work on a project in a small project team
  • Presentation of project results
  • Write short essay about project results
• Improve
  • Programming skills
  • Presentation skills
    

• The participants should be in the 4th semester or higher.
• The number of participants is restricted to 25. If more students apply, we reserve the right to select the participants

The project seminar is a combination of a lecture and a practical part:

• Teachers impart relevant knowledge
• Students work on a self-containing topic in a team of max 4 people
• Students regularly present their work
• Every team comprises a project documentation
• Throughout the whole semester, each team has a weekly meeting with the respective tutor

Book: A Course in In-Memory Data Management: The Inner Mechanics of In-Memory Databases

Paper: The Impact of Columnar In-Memory Databases on Enterprise Systems

Paper: SanssouciDB: An In-Memory Database for Processing Enterprise Workloads

OpenHPI online lecture: In-Memory Data Management 2015

_{Paper may only be accessible from HPI network}