Data Management at Scale by Piethein Strengholt

Author:Piethein Strengholt [Piethein Strengholt]
Language: eng
Format: epub
Publisher: O'Reilly Media, Inc.
Published: 2020-08-05T16:00:00+00:00

Supplying the Corresponding Metadata

A tremendous portion of the effort of making the architecture scalable will go into making it metadata-driven. Making data discoverable and available for use and reuse by others, and applying the right restrictions, requires metadata to be embedded within the data. The same applies to interoperability. Making data easily transferable among different systems and avoiding lock-in also requires publishing the metadata and making it available to all parties.

The majority of the metadata requirements will be discussed in Chapter 10, but for the data that will be published via the architectures, it is important at the implementation stage to visualize a unified metamodel with the critical metadata that must be published or provided with the data itself: schema data, application identifiers, domain identifiers, business capability identifiers, data ownership identifiers, purpose classifications, relationship to the golden dataset’s data elements, and so on. For the sake of discoverability, eventually everything has to come together in catalogs, registries, or developer portals.

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