Whitepaper : Is your Data Modeling Workflow Agile or Fragile?

Many companies are moving to Agile and Scrum methodologies for applications and databases, but haven’t taken them all the way back to the data models. With the emergence of agile development workflows in database environments, the need for modeling in highly-iterative, process-light approaches is important. Data professionals need to know how to successfully fit data modeling deliverables into agile workflows, and be able to demonstrate that data models can be flexible and synchronized with the user stories and tasks. In this whitepaper, Karen Lopez provides 10 tips and discusses ways for data modelers to work with sprint-focused agile development projects, including how to:

• Prepare your data modeling technical environment to support fast iterations
• Collaborate with agile teammates in a way that they can benefit from existing data model resources
• Demonstrate the value of data models to your agile teams

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Karen López

Karen López is the Senior Project Manager and Architect at InfoAdvisors. She has more than twenty years of experience in helping organizations implement large, multi-project programs. She is a Microsoft SQL Server MVP, specializing in data modeling and database design

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