Martin Fowler

Distribution of the data ownership and data pipeline implementation into the hands of the business domains raise an important concern around accessibility, usability and harmonization of distributed datasets. This is where the learning in applying product thinking and ownership of data assets come handy.

Domain data as a product

Over the last decade operational domains have built product thinking into the capabilities they provide to the rest of the organization. Domain teams provide these capabilities as APIs to the rest of the developers in the organization, as building blocks of creating higher order value and functionality. The teams strive for creating the best developer experience for their domain APIs; including discoverable and understandable API documentation, API test sandboxes, and closely tracked quality and adoption KPIs.

For a distributed data platform to be successful, domain data teams must apply product thinking with similar rigor to the datasets that they provide; considering

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