Azure Storage
The Qlik Azure Storage connector uses the Azure Blob API to access your Azure Storage data, like the contents of blobs and metadata for your Azure Storage account.
The Qlik Web Connectors help you connect to different data sources and fetch data in the same way. Learn how to authenticate a data source connection and how to use tables to fetch data.
Supported offerings
- Qlik Sense Desktop
- Qlik Sense Enterprise on Windows
- QlikView
This connector must be installed separately.
Limitations
-
Microsoft personal accounts are not supported.
Ways to access your data
To access your Azure Storage blobs, you need to authenticate the connector with your Azure Storage account credentials. Enter the blob container path, and select Authenticate. You are redirected to a Azure Storage login page. Log in with your credentials to retrieve an authentication token.
Loading data from tables
After you authenticate the connector with your account credentials, use the tables to fetch your data. Below are use cases for some of the available tables:
Table | Description |
---|---|
ListBlobs | Use this to list the files and subfolders of a blob repository located in your Azure Storage account. |
GetBlobProperties | Use this to list the metadata and properties for a blob repository. |
GetRawBlob | Use this to read/download a blob. |
GetRawBlobAsText | Use this to read/download a blob in text format. |
SaveRawBlobToDisk | Use this to read/download a blob to disk. |
PutBlob | Use this to write/upload a blob. |
DeleteBlob | Use this to delete the specified blob. |
Reference - Azure Storage documentation
You can refer to the Microsoft Azure Blob service REST API documentation to learn more about the requirements and restrictions imposed by the API.
Microsoft Azure Blob service REST API
Troubleshooting
You receive an error message that you have reached the API rate limit
Possible cause
You have exceeded the API limits that are imposed by the Azure Blob API.
Proposed action
To reduce the impact of reaching API rate limits, develop your app with the following in mind:
- Extract only the data you need.
- Reload one Azure Storage-based application at a time.
- Ensure that loops in your script that make API calls do not result in infinite loops.