How to determine if Direct Lake dataset is falling back to Direct Query in Microsoft Fabric
If you are looking to better understand the behavior of Direct Query and Direct Lake datasets in Microsoft Fabric, this tutorial will guide you through the process. Direct Lake semantic models are typically used to access delta table data from the OneLake, providing fast query speeds. However, if the semantic model does not fully match the requirements of the query, it might fall back to Direct Query, which can lead to slower performance.
The tutorial will help you understand how to identify cases where the Direct Lake semantic model is being bypassed and your queries are reverting to Direct Query. Armed with this knowledge, you will be able to assess how to improve your data model and optimize query performance for Direct Lake datasets.
Whether you are a seasoned SQL geek or a novice developer, this tutorial is accessible and designed to help you enhance your understanding of how Direct Query and Direct Lake datasets function in Microsoft Fabric.
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