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3 Enterprise Data Management Trends CDOs Can’t Stop Talking About
Trend #1: Data as a product
Treating data as a product means bringing product thinking to data management. Productized data is easier for consumers to discover, understand, and use than raw data that lives in a data lake.
Mammad Zadeh, former VP of Engineering at Intuit, discusses this trend.
Trend #2: Data product managers
A data product manager aligns the needs of data consumers to the outputs of data producers. They define requirements and document data definitions, schemas, and models.
If you’d like to know more, check out this episode of Catalog & Cocktails.
Trend #3: Semantic layer
A semantic layer maps data to familiar business terms and aligns stakeholders to shared definitions, simplifying data understanding.
What do all three trends have in common?
The commonality is data mesh, a modern approach to enterprise data management.
Join the data.world spring summit to discuss what comes next for data mesh.