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Schedule & Events

Schedule & Events

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Keeping Standards Consistent Across Teams and Platforms

Date: May 27th
Time: 11:00am ET
Location: Microsoft Teams Townhall

As modeling environments grow across teams, platforms, and projects, maintaining consistency becomes increasingly difficult. Without shared standards and governance, naming inconsistencies, duplicated logic, and model drift can quickly create long-term management challenges.

In this session, we’ll explore practical governance strategies within erwin Data Modeler to help standardize modeling practices and maintain consistency across evolving environments. We’ll walk through approaches for managing naming standards, reusable templates, subject areas, and model validation to reduce downstream inconsistencies before they spread across teams and platforms.

We’ll explore:

  • Building and enforcing consistent naming standards
  • Using domains, reusable templates, and shared definitions
  • Organizing large environments with subject areas
  • Validating models before issues reach production
  • Reducing model drift across teams and platforms
  • Supporting collaboration while maintaining governance standards

By the end of the session, you’ll have practical strategies for scaling modeling efforts while keeping standards aligned across the enterprise.

Speaker: Andy McGovern, Sr. Principal Consultant

ET

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How Cloud-Based Modeling Fits Alongside erwin DM

Date: June 9th
Time: 11:00am ET
Location: Microsoft Teams Townhall

If you’re currently using erwin Data Modeler, you’ve probably started hearing more about Quest Data Modeler and where it fits alongside existing modeling workflows. In this Skills 101 session, we’ll walk through the practical differences between the traditional desktop experience and the newer cloud-native platform, focusing on how existing erwin users can evaluate where each approach fits within their environment. Through a live demo, we’ll explore how models, standards, governance processes, and team workflows translate between both platforms, along with where newer cloud-based capabilities can simplify collaboration and model management.

We’ll explore:

  • Core workflow differences between erwin Data Modeler and Quest Data Modeler
  • The browser-based modeling experience, including real-time collaboration and AI-assisted model generation
  • How existing models, naming standards, and governance workflows carry forward in hybrid environments
  • Using the centralized Mart repository for check-in/check-out, version history, and multi-user conflict resolution
  • Which modeling workflows make the most sense for desktop, cloud, or hybrid coexistence
  • Integrating with platforms like dbt, Git, Databricks, Fabric, and more

Whether you're evaluating cloud-based modeling for the first time or trying to understand how it complements your current erwin environment, this session is designed to provide a practical, technical walkthrough focused on real modeling workflows and operational considerations.

Speaker: Andy McGovern, Sr. Principal Consultant and Ryan Crochet, Product Marketing Director

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Enterprise Scheduling – Making Your Models Work While You Sleep

Date: September 15th
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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