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Is your Data Modeling Workflow Agile or Fragile?

  • 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

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. 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.

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