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Data model management

Here are some tips and tricks for managing your data models in CDF:

  • Use projects to manage the lifecycle of your data models and put them into production by sdeploying them to a production project in a single, unified deployment step.
  • Use spaces to control access to data models and data, where data models and data instances may live in the same space but typically live in separate spaces determined by who should be allowed to change data models and data.
  • Use versioning to evolve your data models over time and control how your data models inherit other data models.
  • When putting a new version into production, you should migrate the data from the old version to the new version. In its simplest form, the latest data model references the data where they already reside, and migration is trivial. In more complex cases, you may need to create new transformations.