Thursday, March 20, 2008
09:50 AM - 10:50 AM
This session will outline techniques to address the challenges of real-world modeling within your enterprise. In particular, we will examine ways to improve the performance of potentially time consuming enterprise data modeling processes.
Topics covered will include:
A. Size matters! Break down your large models using subject area based processes
B. Speeding up change control and synchronization using advanced features of the modeling tool:
C. Effectively using denormalization to improve the performance of toggling between logical and physical views;
D. Techniques to avoid lengthy reverse engineering processes
E. Advanced version control using a high performance data model repository.
Mr. Chiorean has a Masters Degree from a major European Polytechnical University. He was a successful researcher in Europe for nine years accumulating four patents before moving to USA. His initial focus, upon arriving in the US, was to develop quality management software. He was a lead programmer and analyst for a software development firm in Princeton NJ. Data analysis, data modeling and software design were Mr. Chiorean’s primary areas of concentration.
Pursuing a specialization in the area of data modeling software, he then accepted a senior developer position with Logic Works Inc. where he was a major contributor to the development of the ERwin data modeling tool. Mr. Chiorean is now a senior software developer with Computer Associates and a lead member of the ERwin® Data Modeler development team. He has presented on a variety of topics at many industry conferences as well as at CA World; CA’s world wide user conference.