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3.6.9
3.6.9
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On this page
  • Deleting days in a Dataset
  • Deleting an entire Dataset
  • Associating Metadata to a Dataset

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  1. Data pipelines

Datasets

Management screen for Datasets

PreviouswhereNextLookups

Last updated 3 years ago

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Using the Datasets screen, users are now able to manage daily RDFs for any Dataset in the system. On top of that, the Datasets provides to ability to associate a with a Dataset enabling tagging of services.

CAUTION Deleting a Daily RDF or entire Dataset is an irreversible operation

Deleting days in a Dataset

In order to remove certain days (or: ) from a Dataset, browse to the Data Pipelines > Datasets menu and select the Dataset from which you want to delete certain days.

Then click the red trash bin icon next to each day for which you want to remove its data:

Once each day has been set to delete, confirm your selection by clicking the Update button:

Deleting an entire Dataset

In order to delete the entire Dataset the Delete button in the lift bottom corner can be used:

After confirmation the entire Dataset will be deleted from disk.

Associating Metadata to a Dataset

To use Metadata for Services, a Metadata Defenition needs to be associated with the corresponding Dataset. This can be achieved by opening the Data Pipelines > Datasets management screen, then selecting the Dataset for which you want to configure Metadata:

Afterwards, click the Update button to ensure your changes are saved. Now it is possible to configure Metadata values for all the in this Dataset.

Services
Metadata Defenition
Daily RDFs
Deleting days from a Dataset
Confirm Deletion of Daily RDFs
Click OK to delete the entire Dataset
Associating Metadata to a Dataset