How users can utilize the Recommendations and Collaborate in Data Catalog
In this section, we are going to explore the new features of Data Catalog 8.0, offered as two feature packs:
- The "AI Feature Pack" provides AI-driven recommendations of datasets to users.
- The "Semantics Feature Pack" allows for collaboration among users by adding endorsements, warnings and deprecation notes to views and web services.
The Feature Packs are licensed separately from the Denodo Platform. To begin using a Feature Pack you do not need to install a new component, only install a new license file.
In our example, we will focus on these feature packs using the
AI Feature Pack
The AI Feature Pack includes the Automatic recommendation of datasets in the Data Catalog to help you discover new elements among the data resources of your company.
Automatic recommendation of datasets in the Data Catalog
With this feature, Data Catalog displays personalized recommendations to the users, based on the past activity in the Data catalog such as datasets that are most used, recently used, recommended etc.
- To see the recommendations, go to the homepage of the Data Catalog.
- The homepage presents you with a selection of items organized by different topics including a topic named
Recommended to you. This recommendation of datasets is only available with the AI Feature Pack.
Semantic Feature Pack
The Semantics Feature Pack includes Collaboration in Data Catalog to allow Data Stewards to better communicate with their business users.
Collaboration in Data Catalog
In this section, we will see how we can create the following collaborative options in the Client view.
- Warnings and
- Deprecation notes to views and web services.
The endorsements are the comments by users on a view or a webservice to show their support. A user can only endorse a view or web service once, meaning, when a new comment is written, the previous endorsement will be replaced.
- To create endorsement, navigate to the
Summarytab of the Client view and click on
Collaboration > Endorse option.
- In the Endorse dialog, provide the details which you would like other users to see. For example, add the details as follows:
"This Client view is a key component of our model. It is associated with Address view to give expanded information about each client."
Okto save the endorsement.
- In the
Endorsed bylabel displays the number of endorsements on this view and their authors. Mouse over on an author say, 'admin' to see the endorsements comment.
Warnings are used to write and display the "advise against" messages on views and web services by users. A user can write only one warning against a view or web service.
- To create a warning message, go to the
Summarytab of the Client view, click on
Collaboration > Warn option.
- In the Warn dialog, add the following warning information:
"This view will be updated with delta records once in a week"
Okto save the warning message.
- In the
Warning bylabel displays the number of warnings on this view and their authors. Mouse over on an author say 'admin' to see their warnings.
Deprecations are used for informing users that it is obsolete and should not be used anymore. A user can write only one deprecation about a view or web service.
- To deprecate a view, go to the
Summarytab of the Client view, and Click on
Collaborate > Deprecate option.
- In the Deprecate dialog, we will add the following deprecation notes:
"This view will be deprecated from next cycle. Users will be notified about the latest view by the end of this month."
Okto save the deprecation note.
- In the
Summarytab of the view, you will see the ⚠ icon in the toolbar and a notification will pop up every time you click on the icon or access the view.
GREAT! We have now seen how the recommendations and collaborative features help users in Data Catalog.
In this tutorial, we have only had a limited number of Views, Data Sources, Tags and Categories, but it is clear that through the use of the Data Catalog, business users will be able to explore the companies data, easily and quickly, with minimal overhead on the IT team. We have also learnt about how the feature packs included in the data catalog can be used and how it helps users in a collaborative environment.