In this webcast we’ll learn how to reverse engineer existing data sources into graphical models to document, compare, standardize, and enrich the structure and metadata. We’ll cover:
- Understanding what can vs what must or should be reversed engineered
- How to organize reverse engineered data models across OLTP, data warehouses, and analytics
- Why and how to identify common entities and attributes for inclusion in domains and sub-models
- How to convert reverse engineered data models from one database platform to another