Tuesday, December 10, 2019
11:00 AM - 11:50 AM
In data governance, there is a lot of terminology and different artifacts in use, including: Physical Data Model, Logical Data Model, Data Dictionary, Business Glossary, Data Catalog … and more.
If you are interested in getting more clarity about these and why they are important, this talk will explore answers to the following types of questions:
- Why do people create these models – i.e., what are the differences and purposes of each?
- Are there benefits of one over the other?
- How are they represented as data governance artifacts?
- Why is it valuable to bring them together, and how do you build connections between them?
Irene Polikoff has more than two decades of experience in software development, management, consulting and strategic planning. Since co-founding TopQuadrant in 2001 Irene has been involved in more than a dozen projects in government and commercial sectors. She has written strategy papers, trained customers on the use of the Semantic Web standards, developed ontology models, designed solution architectures, and defined deployment processes and guidance.