Скачать или смотреть Data and Database Portability in Docker by Sean Scott

Databases have always been a hurdle in application development. Data refreshes are time consuming and require down time and coordination. Legacy environments balance the risk of working with stale data against the effort and inconvenience of returning the database to a baseline. Even modern agile shops struggle with this task, engineering complex processes or buying hardware and software solutions to manage their test data. The difficulty lies in the way databases, configurations, and data blend together. Traditionally, navigating that complexity is left to the database administrator.

Docker changes that and holds the potential to revolutionize database development. With Docker, it's no longer necessary to master database internals and commands to create, manage, or refresh databases. In this session I'll show you how to use Docker to:
• Create data artifacts
• Start new databases in seconds using saved baselines
• Save, version, and distribute data sets in your organization
• Integrate databases as full members of existing CI/CD pipelines
• Test with confidence and avoid uncertainty introduced by data drift
• Speed application development and reduce time spent provisioning database assets
...and all without a single database command!