In CA ERwin Data Modeler - Data Modeling Practices training course, Participants will discover the capabilities of CA Erwin Data Modeler. They will build and reverse-engineer logical and physical data models. In addition, they will validate, present, and refine data models. They will apply transformations and manage data definition language (DDL) scripts and database schemas.
They will create user-defined domains (UDDs), which make it easier to reuse, maintain, and create attributes for their data models. After they have completed the course, they will be able to create data models for undocumented schemas and translate normalized logical data models into performance-oriented, physical data models.
By attending CA ERwin Data Modeler - Data Modeling Practices workshop, Participants will learn to:
Real- time Case Studies