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Supporting Data Fabric Architecture with Semantic Technology Standards

The vision of data fabric is a data environment that looks like a network where people and systems collaborate on data, but to do so requires semantic technology standards. This blog post digs into why a dynamic, active and collaborative environment ensures accessibility, transparency and the maintainability of standards powering a data fabric.

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Modeling for Data Fabric

In the last article we talked about how the data fabric collects, enriches and uses metadata. Models are essential to each of these component processes.

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Metadata – The Magic Behind Data Fabric

The key differentiator of a data fabric from other data integration architectures is its fundamental reliance on metadata. Implementing a data fabric means establishing a metadata-driven architecture capable of delivering integrated and enriched data to data consumers.

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