Building robust models requires moving seamlessly between Conceptual, Logical, and Physical layers- and knowing how to maintain integrity across them. In this session, we’ll show you how to derive Logical models from Conceptual foundations, enrich them with attributes, and produce Logical/Physical models across multiple data structures. You’ll learn techniques for handling relationships, managing large models, and scaling design efforts for enterprise environments. By the end, your layered models will be as elegant and precise as a well-oiled DevOps pipeline.
Topics that will be discussed include:
Speaker: Andy McGovern, Sr. Principal Consultant
Manually running reverse engineering and model comparisons doesn’t scale, especially across larger environments.
In this session, we’ll walk through how to use erwin Data Modeler Workgroup Edition to schedule and automate key modeling tasks. You’ll see how to configure recurring jobs for Reverse Engineering and Complete Compare, store parameters securely, and generate difference reports without manual intervention.
We’ll focus on building a repeatable process so model updates, comparisons, and reporting happen consistently, even when you’re not actively running them.
We’ll walk through:
By the end, you’ll have a clear approach to automating routine modeling tasks and maintaining consistency across environments
Speaker: Andy McGovern, Sr. Principal Consultant