Synchronize Amazon SageMaker (beta)

Synchronizing AWS SageMaker AI is the process of integrating metadata from Amazon SageMaker and making the data available in Collibra Data Intelligence Platform.

You can synchronize manually, or you can automate it by adding a synchronization schedule.

Before you begin

You have created a AWS connection.
You have added the AWS SageMaker AI capability to the AWS connection.

Required permissions

You have a resource role with the Configure external system resource permission, for example, Owner.
You have a global role with the Catalog global permission, for example, Catalog Author.
You have a global role with the View Edge connections and capabilities global permission, for example, Edge integration engineer. For example, Edge integration engineer.

Steps

Manually synchronize AWS SageMaker AI
Add a synchronization schedule

On the main toolbar, click , and then click Catalog.
The Catalog Home opens.
On the main toolbar, click .
The Create dialog box appears.
In the Register with Edge section of the Create dialog box, click Integration Configuration.
The Integration Configuration page opens.
In the Connection name column, locate the AWS connection that you used when you added the AWS SageMaker AI capability and click the link in the Capabilities column.
The Synchronization page opens.
In the Synchronization Configuration section, click Add Configuration.
In Domain, select the Domain asset in which you want to add the AWS SageMaker AI assets.
Optionally, in AWS Regions, select the region of the AWS SageMaker AI assets. If no regions are selected, the integration searches all regions were SageMaker is available.
Optionally, in Custom AI Metrics Mappings, define which custom AWS SageMaker AI model metrics you want to integrate. You do this by adding the mapping between the custom metric and the Collibra attribute.
Show details
Important
If you use this feature, make sure to add all required characteristics to the AWS SageMaker AI AI Model asset type assignment.
1. Click Add Custom AI Metrics Mappings.
2. In Metric, type the name of the custom metric manually.
  Use the exact name as in AWS SageMaker AI AI asset.
3. In Attribute, select the attribute in which you want to see the value.
  Make sure to select an attribute that is included in the AWS SageMaker AI AI Model asset type assignment.
Click Save.
Click Synchronize.
A notification indicates the synchronization has started.

On the main toolbar, click , and then click Catalog.
The Catalog Home opens.
On the main toolbar, click .
The Create dialog box appears.
In the Register with Edge section of the Create dialog box, click Integration Configuration.
The Integration Configuration page opens.
In the Connection name column, locate the AWS connection that you used when you added the AWS SageMaker AI capability and click the link in the Capabilities column.
The Synchronization page opens.
In the Synchronization Configuration section, click Add Configuration.
In Domain, select the Domain asset in which you want to add the AWS SageMaker AI assets.
Optionally, in AWS Regions, select the region of the AWS SageMaker AI assets. If no regions are selected, the integration searches all regions were SageMaker is available.
Optionally, in Custom AI Metrics Mappings, define which custom AWS SageMaker AI AI Model metrics you want to integrate. You do this by adding the mapping between the custom metric and the Collibra attribute.
Show details
Important
If you use this feature, make sure to add all required characteristics to the AWS SageMaker AI AI Model asset type assignment.
1. Click Add Custom AI Metrics Mappings.
2. In Metric, type the name of the custom metric manually.
  Use the exact name as in AWS SageMaker AI AI asset.
3. In Attribute, select the attribute in which you want to see the value.
  Make sure to select an attribute that is included in the AWS SageMaker AI AI Model asset type assignment.
Click Save.
In the Synchronization Schedule section, click Add schedule.

Enter the required information and click Save:

Field	Description
Repeat	The interval when you want to synchronize automatically. The possible values are: Daily, Weekly, Monthly, and Cron expression.
Cron	The Quartz Cron expression that determines when the synchronization takes place. This field is only visible if you select `Cron expression` in the Repeat field.
Every	The day on which you want to synchronize, for example, Sunday. This field is only visible if you select `Weekly` in the Repeat field.
Every first	The day of the month on which you want to synchronize, for example, Tuesday. This field is only visible if you select `Monthly` in the Repeat field.
At	The time at which you want to synchronize automatically, for example, 14:00. You can only schedule on the hour. For example, you can add a synchronization schedule at 8:00, but not at 8:45. This field is only visible if you select `Daily`, `Weekly`, or `Monthly` in the Repeat field.
Time zone	The time zone for the schedule.

What's next?

The synchronization job synchronizes the AWS SageMaker AI data.
After the synchronization:

You can view a summary of the results from the Activities list.
The resulting assets get a relation to the Domain that you selected.
For information on the integrated data, go to Synchronized AWS SageMaker AI data.