Review the assets to which you have access in the Library for Data page.
Tip: If you land in an empty Library for Data page, you can start adding datasets. Click Import Data. See Import Data Page.
Library for Data Page
- All Data: You can view all the imported datasets or references available to you.
Imported Datasets: Review your imported datasets from sources such as file-based storage, connected databases, or desktop.
- The Source column indicates where the original source data is located.
- All: All objects of the selected type to which you have access.
- Owned by me: All objects of the selected type that you own.
- Shared with me: All objects of the type that have been shared with you.
- Name: Name of the objectasset.
- Owner: Owner of the objectasset.
- In flows: Count of flows in which the object is in use.
- Source: Flow or datastore Location where the object asset is located.
- Last updated: Timestamp of the last time that the object asset was modified.
- Browse: If displayed, use the page browsing controls to explore the available objects.
- Search: To search object names, enter a string in the search bar. Results are highlighted immediately in the Library page.
- Sort: Click a column header to sort the display by the column's entries.
Make a copy: Create a copy of the imported dataset. This option is not available for reference datasets.
- Edit name and description: Change the name and description of the dataset.
Edit data settings: If the source of the imported dataset required conversion to an internally supported format, you can modify settings related to that conversion process. For more information, see File Import Settings.
Tip: This setting applies primarily to binary file formats, such as PDF and Excel, or file formats that may require additional steps to convert into tabular data, such as JSON.
Refresh dataset: If available, this option refreshes the dataset's metadata with the latest source schema.
NOTE: When a dataset is refreshed, all samples associated with the dataset are deleted, whether the dataset has changed. Samples must be recreated in their recipes.
NOTE: If you attempt to refresh the schema of a parameterized dataset based on a set of files, only the schema for the first file is checked for changes. If changes are detected, the other files are contain those changes as well. This can lead to changes being assumed or undetected in later files and potential data corruption
For more information, see Overview of Schema Management.
- Transfer ownership: For assets that you own, you can transfer ownership of them to another user. For more information, see Transfer Asset Ownership.
Delete dataset: Delete the dataset.
Deleting a dataset cannot be undone.
NOTE: Youcan only see the imported datasets to which you have access in your currently selected project or workspace. If the data underlying the imported dataset is not available, the imported dataset is still listed in the Library page, since it is just a reference to the data.
For more information, see Imported Datasets Page.
A reference dataset is a reference to a recipe's output. For more information, see References Page.
NOTE: A reference dataset is a read-only object where it is referenced. A reference dataset must be created in the source flow from the recipe to use.
A reference dataset is created from the context menu of a flow's recipe.
A macro is a saved sequence of one or more recipe steps that can be reused in other recipes. See Macros Page.You can either import macros from your desktop or browse through the
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