Agile development techniques are on the rise as corporate app dev teams look to roll out more functionality, faster. However, data infrastructure is often a significant roadblock to greater development agility.
It is not uncommon for larger firms to have 2-3 week cycles, with a dozen parallel projects, each requiring a copy of 25+ production databases. Database setup and teardown time, equipment costs, and integration testing are common barriers to successful agile development. Agile Data Management eliminates these barriers and reduces the cost and risk of short, parallel development projects. The paper discusses common challenges and technical solutions for addressing them.
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