24:06
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:
In this episode of Skills 101, Andy McGovern and special guest Ryan Crochet introduce Quest Data Modeler (QDM) — a cloud-native, AI-driven data modeling tool d...
22:37
The undisputed leader in enterprise data modeling is entering a new era. erwin Data Modeler will have an all-new user interface designed for clean simplificatio...
04:36
As modeling environments grow across teams, platforms, and projects, maintaining consistency becomes increasingly difficult. Without shared standards and gover...
35:07
erwin Data Modeler continues to evolve rapidly, and version 15.2 introduces a new set of enhancements designed to improve usability, visibility, and modeling ef...
21:16
In this Skills 101 session, Jeff walks through how AI is transforming the erwin Data Modeler, Data Intelligence, Data Quality, and Automated Data Product Factor...
20:52
New visualization and collaboration capabilities plus integration with the Databricks Unity Catalog are just the start of the added capabilities in erwin Data M...
01:40
Say goodbye to the slow, traditional data modeling. In this video, explore how erwin Data Modeler’s GenAI capabilities are reshaping the way data profess...
00:58
This video supplements the existing erwin Data Modeler online training courses. It explores the software’s latest release, with an emphasis on the new user inte...
25:19