From the course: Introduction to Microsoft Fabric by Microsoft Press

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Organize data in a lakehouse

Organize data in a lakehouse - Microsoft Fabric Tutorial

From the course: Introduction to Microsoft Fabric by Microsoft Press

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Organize data in a lakehouse

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- While a Data Warehouse is an example of a schema-first data management solution, the Lakehouse can be viewed as a primarily data-first solution. The name Lakehouse can be confusing. It sounds like a Data Lake, and it sounds like a Data Warehouse, and in fact, a Lakehouse has elements of both. The Lakehouse in Fabric has Data Lake-like capabilities, in that you can store any data you need in files in a Lakehouse. the Lakehouse is built on top of OneLake, but this time you do have an artifact that is visible as such in Fabric. And you can have multiple Lakehouses in one workspace in Fabric. From this perspective, you could view a Lakehouse as a container organizing the contents of OneLake. In my view, the Lakehouse is the most native item in Fabric, as it is only a thin layer of logic on top of files in OneLake. Where developing a Data Warehouse starts with designing the data model, developing a Lakehouse starts simply by loading data. Data first. The only design decision to be made…

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