Databases are traditionally roadblocks to application development. Data refreshes are time consuming and require down time and coordination across teams. Legacy environments must balance the risk of stale data against the time, effort, and inconvenience of reverting databases to baselines. Even modern agile shops struggle with this task, engineering complex processes or investing in complex solutions for data management. The primary obstacle? The way traditional databases merge software, configuration, and data, creating a bottleneck around niche skills unique to database administrators.
Data as Code: Exploring Data and Database Portability
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