Use ALLIE AI to Suggest Stewards

Alation Cloud Service Applies to Alation Cloud Service instances of Alation

Note

As of release 2024.3.0, the “Use ALLIE to Suggest Stewards” feature has been deprecated.

From Alation version 2023.3, for customers using the Alation cloud-native architecture, ALLIE AI can help suggest stewards for your RDBMS data objects (data sources, schemas, tables, and columns). The feature is currently in Public Preview. When the feature is enabled, ALLIE AI suggests stewards for objects based on various user actions and certain parameters for each object.

Enable Auto-Suggest

To enable the auto-suggest feature, do the following:

  1. Open the Feature Configuration tab in Admin Settings.

  2. Toggle the switch Allie Suggested Stewards to On, as shown:

    ../../_images/EnableAllieStewardSuggest.png

    Note

    In Alation versions 2023.3 and 2023.3.1, the Allie Suggested Stewards switch was visible in all Alation instances, not just those using Alation cloud-native architecture. This has been corrected in Alation version 2023.3.2 and later.

Once enabled, model training will be triggered automatically once a week. You can also trigger model training from the Alation django shell. See Trigger Training Manually.

Accept or Reject Suggested Stewards

Once auto-suggest is enabled and the model training is run, you may see Allie-suggested stewards on relevant catalog pages, marked by the Allie robot head icon. You can hover over a suggested steward to see that Alation has recommended the user as a steward. Use the check icon to confirm the suggestion and the cross icon to reject the suggestion:

../../_images/AllieStewardSuggestion.png

Confirmed stewards receive an email notification informing them of the change. Rejected suggestions disappear from the list of stewards.

Trigger Training Manually

Note

Alation Cloud Service customers can request server configuration changes through Alation Support.

Once you enable auto-suggest, model training will occur automatically once a week. If you want to see results sooner, you may want to run the model training before the automatic run is triggered. You can do this using the Alation django shell, as follows:

  1. Use SSH to connect to the Alation server.

  2. Enter the Alation shell using the following command:

    sudo /etc/init.d/alation shell

  3. Change to the Alation user:

    sudo su alation

  4. Enter the Alation django shell:

    alation_django_shell

  5. From the django prompt, import the Allie suggestion scripts:

    from rosemeta.tasks.allie_suggestions import *

  6. Run the model training:

    run_allie_stewards_combined_pipeline()