Best Practices for Efficient and Productive Analytics WHITEPAPER Introducing the Dremio Semantic Layer June 20202 dremio.com The Self-Service Semantic Layer The Dremio data lake engine incorporates a semantic layer that provides business analysts and data scientists with a consistent view of their data, regardless of what tool they are using (e.g., T ableau, Power BI, Jupyter). The purpose of a semantic layer is to expose a business representation of an organization’s data assets so that it can be accessed using common business terms. It is an abstraction layer, whereby business users can interact with the objects created in the semantic layer without regard for the complexities of where and how the data is physically stored and organized. Semantic layers establish views called vir

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