What endpoint should be used to access data from an Azure Data Lake Storage in Fabric?

The endpoint to be used for accessing data from Azure Data Lake Storage in Fabric is the dfs (Data File System) endpoint. This endpoint is specifically designed for accessing files stored in Data Lake Storage, allowing for efficient operations such as reading and writing data. The dfs endpoint supports hierarchical namespace features and is optimized for large-scale analytics and processing tasks.

In contrast, the blob endpoint is more general for any Azure Blob Storage and does not provide the special optimizations and features that come with the Data Lake Storage ADLS Gen2 capabilities. The file endpoint is typically associated with file storage systems that deal with files but does not facilitate the same level of performance tuning and analytics work intended specifically for data lake scenarios. The table endpoint is geared toward structured data storage within Azure, and it does not directly relate to accessing files in Data Lake Storage.

In summary, the dfs endpoint is tailored for the Data Lake architecture, enhancing interaction with data through advanced features and better performance for analytical workloads.