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Enterprise Data Models and their Performance (Sommersemester 2008)



*** The first meeting will take place on April, 22nd instead of April, 15th.***

In this seminar advanced technologies for handling and analyzing enterprise data will be explored. Besides operational day-to-day business, enterprise data is an important basis for business analytics to determine stratagies and future opportunities. Therefore, highly specialized solutions have been developed to reduce the masses of operational data into a useable form, e.g. aggregation in data warehouses. Traditionally, operational enterprise data is stored in disc-based relational databases and has to be transferred and transformed into
the systems for analytics. As a result, data for analytics is pre-filtered and does not allow for maximum flexibility. Furthermore, data transfer and transformation runs are usually batch processes run only periodically, so data used for analytics is not always up-to-date. In bringing the operational and analytical systems together many questions arise, e.g. how to store data efficiently for both workloads, schedule between operational and analytical queries, locking, or data partitioning. These will be tackled in this seminar.

Each participant has to write a paper that adheres to the guidelines of scientific writing. The participants are also required to prepare a presentation about their topic. In doing so, they will learn how to defend one's ideas in front of the scientific community. Furthermore, the participants are required to build up impartial opinions on the work of the other participants by writing obejctive reviews of their papers.


In order to acquire the 3 graded credit points, seminar participants have to fulfill the following requirements:

  • Preparation of a seminar topic
  • Write a paper on the topic
  • Review the papers of fellow seminar participants
  • Give a talk about the seminar topic (approx. 45 minutes including discussion)


The first seminar meeting will take place on April, 22nd in room SNB E.09 (HPI High-Tech Park) from 13h30 until 15h00. We do not intend to meet regularly with the group of all participants. Instead, each particiant will be assigned to a supervisor with whom he or she will arrange individual meetings. Further information about the seminar will be provided in the first meeting.

Allgemeine Information

  • Semesterwochenstunden : 2
  • ECTS : 3
  • Benotet : Ja
  • Einschreibefrist : 02.05.2008
  • Programm : IT-Systems Engineering MA
  • Lehrform :
  • Belegungsart : Wahl