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Schedule & Events

Schedule & Events

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Themes & Templates made clean and consistent

Date: March 11th 2026
Time: 11:00am ET
Location: Microsoft Teams Townhall

Consistency is critical in enterprise modeling, but that doesn’t mean your models have to look cookie-cutter. Join this session to explore erwin’s Themes and Active Model Templates (AMTs) and learn how to enforce modeling standards while automating repetitive tasks. You’ll see how Themes guide structure, formatting, and naming conventions, and how AMTs accelerate model creation while ensuring compliance across teams. By the end of this session, you’ll have practical strategies to keep your models consistent, high-quality, and surprisingly flexible.

Topics that will be discussed include:

  • Applying Themes to enforce structure and best practices
  • Creating AMTs that streamline repeatable modeling tasks
  • Automating AMTs into your workflow for efficiency
  • Standardizing models across teams without stifling creativity

Speaker: Andy McGovern, Sr. Principal Consultant

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Trusted Data, Faster: Quest Trusted Data Management Platform

Date: March 12th
Time: 11:00am ET
Location: Microsoft Teams Townhall

Your AI initiatives are only as good as the data behind them. Join Glenda O'Keefe, Field CTO, for a hands-on look at who the Quest Data Management Platform can help organizations like yours cut through the complexity to deliver trusted, reusable AI-ready data products faster than ever before. Join us for:

  • A review of the market challenges that led us here
  • A look at how Quest Software can help you tackle them with the market's only model-first, converged data management platform
  • A live demo of the all-new Automated Data Product capabilities of the platform
  • A glimpse into future capabilities

Speaker: Glenda O’Keefe; Field CTO

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Layered Modeling – From Conceptual Dreams to Physical Reality

Date: May 13th
Time: 11:00am ET
Location: Microsoft Teams Townhall

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:

  • Designing Conceptual models that scale logically
  • Deriving Logical models with attributes and relationships intact
  • Transitioning to Physical models efficiently
  • Handling multiple data structures without losing your mind

Speaker: Andy McGovern, Sr. Principal Consultant

ET

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