Importing data from Azure Blob

You can import the data from Azure Blob to the RapidCanvas platform. For this, you must establish a connection with blob by providing the container name and connection string. After authenticating the request and establishing the connection successfully, you can have access to the resources in this container.

To import data from Azure Blob:

1. Hover over the menu icon and select Connectors. The Connectors page is displayed showing the total number of connectors.

   

   Left Nav Data Sources

   The Data connectors screen is displayed.

2. Click the plus icon on the top. You can also use the +New data connector button on the workspace to create a new connection.

   

   New Data Source
3. Click the Azure Blob tile.

   

   Azure Blob
4. Click Create Connection. The Data connectors configuration page is displayed.

   

   Data Source Blob
5. Specify this information to configure Azure blob Data connector and access files stored in this Azure storage account:

   Name: The name of the Data connector.

   Container name: The name of the container in which the data is stored.

   Connectstr: The connection string has authorization details for the platform to access the data stored in the Azure storage account.

   

   Azure Blob Create
6. Click Test to check if you are able to establish the connection to the Data connector successfully. Once the connection is established, you can see the files imported from the Azure blob to the platform. The list of files imported are populated in the table format.

7. Click Save to save the Data connector. This Data connector gets added to the already existing Data connectors on this tenant.

You can manage files, datasets, and published outputs for this data connector across different tabs:

• Files Tab: View the files retrieved from this data connector.

• Datasets Tab: See the projects where datasets fetched from this data connector have been used.

• Schedulers Tab: View the outputs published to this connector. When creating a job, users can configure an external connector as the destination to publish the generated outputs upon job execution.

To delete the data connector, click the Actions drop-down menu and select Delete.

This Data connector gets added to the already existing Data connectors on this workspace.