An unstructured dataset is an imported dataset that does not contain any initial parsing steps. All parsing steps must be added through recipes that are applied to the dataset. During the import process, you disable the initial steps that are applied to imported datasets. Instead, these steps are added as the first steps of the auto-generated recipe that appears with the dataset in Flow View. |
Unstructured Dataset icons |
Menu Options:
Replace with dataset with Parameters: For datasets that are not parameterized, you can choose to replace with datasets with parameters.
Tip: You may find it useful to create your recipes with a single static dataset and then later replace with a dataset with parameters. |
All dependent flows, outputs, and references are not removed from the flow. You can replace the source for these objects as needed.
NOTE: References to the deleted dataset in other flows remain broken until the dataset is replaced. |
Unstructured Dataset view |
Key Fields:
Data Preview: In the Data Preview window, you can see a small section of the data that is contained in the imported dataset. This window can be useful for verifying that you are looking at the proper data.
Tip: Click the preview to open a larger dialog, where you can select and copy data. |
Type: Indicates where the data is sourced or the type of file.
Location: Path to the location of the imported dataset.
File Size: Size of the file. Units may vary.