When deciding between a lakehouse and a warehouse in Microsoft Fabric, there are several factors to consider: It is important to note that only the tables in Delta format are available in the SQL Endpoint. This new see-through functionality allows users to work directly on top of the delta tables in the lake to provide a frictionless and performant experience all the way from data ingestion to reporting.Īn important distinction between the default warehouse is that it’s a read-only experience and doesn’t support the full T-SQL surface area of a transactional data warehouse. The Lakehouse creates a serving layer by auto-generating an SQL endpoint and a default dataset during creation. It integrates with other data management and analytics tools to provide a comprehensive solution for data engineering and analytics. It is a flexible and scalable solution that allows organizations to handle large volumes of data using a variety of tools and frameworks to process and analyze that data. What is a Lakehouse in Microsoft Fabric?Ī lakehouse in Microsoft Fabric is a data architecture platform for storing, managing, and analyzing structured and unstructured data in a single location. This blog post will help you understand the differences between a lakehouse and a warehouse in Microsoft Fabric and guide you in making the right choice for your needs. Microsoft Fabric, a comprehensive analytics solution, offers both options. Both have their strengths and are suited to different types of workloads. ![]() In the world of data analytics, the choice between a data warehouse and a lakehouse can be a critical decision.
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