Inside Analysis

Data Modeling in an Agile Environment

Many of today’s enterprises have adopted agile development workflows, with database and application updates being done in sprints. It’s critical for data modeling to adapt to this workflow and pace, even with one data modeler often supporting multiple development teams simultaneously. In order to make that happen, there needs to be an easy and effective way to correlate model changes with specific user stories and tasks.

Register for this episode of Hot Technologies to learn from Analyst Dr. Robin Bloor and Data Scientist Dez Blanchfield as they discuss how data modeling has changed over the years. They’ll be briefed by Ron Huizenga of IDERA, who will explain how to associate model changes with project requirements and how to take advantage of ER/Studio Data Architect’s advanced change management capabilities to support agile environments.

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