Discovery Agent > Metadata exploration > Explore metadata of assets from the catalog
  

Explore metadata of assets from the catalog

Explore, view, and understand the metadata of an asset in your catalog with CLAIRE GPT.
Note:
When you search and explore the metadata of assets or perform data exploration, critical data elements appear first in the response, followed by other data elements sorted by precedence.

Prerequisites

Before you perform metadata exploration tasks in CLAIRE GPT for Data Governance and Catalog, ensure that you perform the following tasks:
For information about how to set up CLAIRE GPT for users in your organization, see Administer CLAIRE GPT.

Sample conversation

Let's take a look at a sample conversation to help you get started on your Data Governance and Catalog metadata exploration journey in CLAIRE GPT.
You’re a data analyst and you want to create a report on customer engagement. Your organization catalogs its customer data in Data Governance and Catalog. You have discovered a table, CUSTOMER_ANALYTICS, from the catalog. You want to assess the reliability and completeness of its data to decide if the table is suitable for creating a report on customer engagement.
To achieve the goal, perform the following steps:
  1. 1Log in to CLAIRE GPT.
  2. 2Start a conversation to see the metadata completeness and data lineage of the CUSTOMER_ANALYTICS table.
    3. Enter the following prompt:
    I want to use the CUSTOMER_ANALYTICS table for reporting on customer engagement. Can you help assess the metadata completeness and lineage and provide your assessment on whether this would be the right asset?
    The following image shows the response displaying the discovered table and the metadata completeness information of the table based on its overview and data lineage:The response displays a card for the discovered tables that match CUSTOMER_ANALYTICS and a card for the CUSTOMER_ANALYTICS asset overview. The response also displays the complete metadata coverage of the table including its description, data quality and profiling information, stakeholders and more.
    The metadata exploration skill of the discovery agent discovers the table and provides key insights on the overview of the table to assess whether this asset is appropriate for your reporting needs. The response includes a detailed explanation of the completeness of the table which is derived from its business name, description, data quality status, profiling status, associated classifications and glossaries, stakeholders and more.
    To evaluate if the table is reliable for your reporting needs, the agent provides the key insights from the table's lineage. Insights include the upstream and downstream assets in the data flow, and the sequence of transformations that the table has undergone.
    The following image shows the response including key insights from the data lineage of the table, along with the lineage card: The response displays a card for the lineage of the CUSTOMER_ANALYTICS table, along with the key insights from the lineage. It also displays the detailed explanation of the lineage overview, upstream data sources, and transformation steps in the lineage.
  3. 3Click the lineage card to view the lineage. You can also click Open in Data Catalog to view the complete lineage in Data Governance and Catalog.
    4. The following image shows the visual lineage graph in the canvas, the option to open the lineage in Data Governance and Catalog, and a detailed explanation of the metadata completeness and lineage analysis:The response displays the visual lineage graph of the CUSTOMER_ANALYTICS table, showing the upstream data sources, transformation steps, and the CUSTOMER_ANALYTICS table as the final output. The right pane displays the detàils of the lineage.
    Based on the metadata completeness and clear lineage of the discovered table, the discovery agent summarizes that the table is a reliable candidate for reporting on customer engagement. You can continue to explore the metadata of the table or take other actions as suggested by CLAIRE GPT.
    The following image shows the summary and the suggested prompts for next actions in the response: The response displays the summary of the suitability of the CUSTOMER_ANALYTICS table for reporting purposes. The suitability is based on its metadata profiling, data quality, and lineage analysis. The response also includes the suggested prompts for actions that you can take.