An Azure service that provides an enterprise-wide hyper-scale repository for big data analytic workloads and is integrated with Azure Blob Storage.
No. In the Fabric portal Load to tables experience, the supported actions are:
- Start from a single file or a folder.
- Load into a new table or an existing table.
- Load CSV or Parquet data into Delta format.
If the goal is to create multiple separate tables in one click from multiple files, that is not described as a supported button or bulk action in this experience.
What is supported instead:
- For a single file: use Load to tables > New table.
- For a folder: start from the folder and use Load folder to new table. This loads from the folder path, but the documented flow does not describe creating many separate tables at once from multiple files.
- If explicit schema control is needed, use a notebook instead of the lakehouse home page.
- For programmatic loading, use the Load Table API or
notebookutils.lakehouse.loadTable().
If the files are already in a folder, a practical option is to load the folder as one table where that fits the data layout. Otherwise, files need to be loaded individually, or automated with API/notebook-based approaches.