Why and How to Enable Data Science with an Independent Semantic Layer - Audio Blog
The need for an independent semantic layer contin…
Secrets of Data Analytics Leaders · Eckerson Group
November 10, 20236m 42s
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Show Notes
The need for an independent semantic layer continues to rise as data science gains traction in the enterprise. Its five primary elements—metrics, caching, metadata management, APIs, and access controls—support AI/ML use cases as part of data science projects.
Published at:
https://www.eckerson.com/articles/why-and-how-to-enable-data-science-with-an-independent-semantic-layer