In this lab you see how to monitor data drift and set alerts when drift is high. This is a new feature of Azure Machine Learning and is currently in public preview. The preview version is provided without a service level agreement, and it's not recommended for production workloads. For more information, see Supplemental Terms of Use for Microsoft Azure Previews.
To know more please take a look in this link.
The following Azure services will be used in this lab. If you need further training resources or access to technical documentation please find in the table below links to Microsoft Learn and to each service's Technical Documentation.
| Azure Service | Microsoft Learn | Technical Documentation |
|---|---|---|
| Azure Machine Learning | Monitor data drift with Azure Machine Learning | Detect data drift (preview) on datasets |
| Step | Description |
|---|---|
 |
Enable collect data |
 |
Create a Data Drift monitor and configure to send alerts |
| IMPORTANT |
|---|
| Take a look in this notebook. |
You can also import this notebook to your own workspace. Just right-click on the blank space below your username and choose Import -> File and put the path of the file. You can download to your local machine and upload to Databricks Workspace as well.
| IMPORTANT |
|---|
| Take a look in this notebook. |