Schedule & Events
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Enterprise Scheduling – Making Your Models Work While You Sleep
Time: 11:00am ET
Location: Microsoft Teams Townhall
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:
- Scheduling Reverse Engineering and Complete Compare jobs
- Generating and interpreting difference reports to track model changes
- Storing parameters and credentials securely for automated execution
- Using the Scheduling UI to monitor and manage multiple models
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
ET
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AI-Assisted Data Modeling: Speed Up Design Without Losing Control
Time: 11:00am ET
Location: Microsoft Teams Townhall
AI is changing how data teams design, document, and manage models, but the real value comes from reducing manual effort without losing governance, consistency, or control.
In this session, we’ll walk through how AI-assisted modeling can help data professionals speed up model development, improve documentation, and uncover relationships that may otherwise take significant manual effort.
We’ll focus on practical ways AI can support data modeling teams while keeping human review, standards, and governance at the center of the process.
We’ll walk through:
- Generative AI use cases for data modeling and documentation
- AI-assisted schema generation and reverse engineering
- Automated documentation to reduce manual effort
- Impact analysis and model recommendations
By the end, you’ll have a clear understanding of how AI can support faster, more consistent data modeling while maintaining the standards and expertise your team depends on.
Speaker: Andy McGovern, Sr. Principal Consultant
ET
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