Objects

Object detailed view

Clicking on an object name opens a detailed view, allowing users to get insights on attribute level. Users can view metadata and metrics, add comments, and manage related business terms from Glossary.

From the view's header the user can copy a direct link to the object, browse the object's history via Audit history and configure alerting for object changes via Entity alerting .

The sidebar shows the object's metadata (connection, schema, last sync time and data quality) together with Row count and Freshness cards fed by the object's primary profiling, and new freshness checks can be added right from the card with Add check. Below the metadata the user can:

• Set the Dataset the object belongs to

• Edit the Description - custom free text field describing the object (the technical Database comment is shown read-only)

• Add Labels to group objects

• Edit the object's Custom field values.

The main area of the view is organized into tabs:

• Attributes - attributes of the object

• Lineage - opens the object's Lineage

• Dependencies - shows all upstream and downstream dependencies of this object across the data landscape

• dbt - dbt metadata; only shown for objects synced from a dbt project

• Data - a sample of the object's actual data; requires the View sample data privilege

• Test cases - shows the test cases related to the object. You can also create test cases directly from this tab.

• Profilings - opens the Profiling page for this object; the tab is disabled when the object has no profilings

Clicking on a row in the attributes table will open that attribute's detailed view.

Dependencies

The Dependencies tab shows all upstream and downstream column-level dependencies for the catalog object, giving a full picture of where this object is used and what it depends on.

The tab displays a filterable table where each row represents a column-level dependency:

• Direction - Downstream means this object feeds data into the related object; Upstream means this object consumes data from it

• Related object - connection, schema, and object of the related catalog entity

• Related column - the source and target column pair that form the relation. Arrow color indicates the relation type:

  • Green / Blue - directed relation (downstream / upstream)

  • Gray - foreign key relation

  • Orange - general related relation

• Quality - data quality bar showing the pass/fail/error/not-executed test case result ratio for the related column

• Lineage - button showing the number of steps in the relation path; clicking it opens the column-level lineage view

The same dependency view is also accessible directly from a test case via the impact and root cause analysis.

Creating test cases from object view

From the Test cases tab in the object detailed view, test cases can be created directly for the current object.

1. Open an object's detailed view and navigate to the Test cases tab

2. Click the "New test case" button and pick a generator:

   • AI Assistant - describe the check in natural language, see AI Assistant. Only offered when the assistant is enabled and the user has the Allow AI assistant privilege

   • Dynamic rules - build the SQL from a dynamic rule

   • Standard validations - pick a predefined validation type

3. The object context (connection, schema, object) is pre-filled automatically

4. Fill in remaining details and click "Create" or "Create and execute"

The Suggestions button beside it proposes test cases for the object. It is shown once the object has profiling data to base suggestions on, or when the AI assistant is enabled.

After creating a test case, the object's data quality metric and test case count refresh automatically to reflect the new test.

Smart search

The Objects tab has a smart search box that suggests scoped filters as you type. Type any text and within ~500 ms a dropdown appears with the matching suggestions, grouped by type. Pick a suggestion to apply it as a filter to the objects list, or press Enter to accept the top result.

The following suggestion types are available:

• Text search - match the typed string against object and attribute names and descriptions (free-text search)

• Object - match a specific catalog object (table / view name)

• Attribute - match a specific attribute across all objects

• Label - match a custom label assigned to objects

• Term - match a business glossary term linked to an attribute; the suggestion shows the term's color dot

By default suggestions respect any filters already applied (dataset, connections, etc.), which the dropdown exposes as a "Search only within applied filters" checkbox. Unchecking it searches across all assets, ignoring the filters. Click the × button on the right of the search input to clear the active suggestion and return to the unfiltered list.

Bulk actions

The Edit button above the results switches the list into selection mode. The user can select individual rows (or all results matching the current filters via the header checkbox) and then:

• Assign - set the Dataset or a Custom field value for all selected objects at once. Assigning an empty dataset clears the dataset from every selected object, so a confirmation is shown first.

• Enrich - generate descriptions, related terms and custom field values for the selected objects with AI enrichment

Description enrichment with AI

Catalog objects and attributes can be enriched with AI-generated content, either in bulk from the Objects tab or for a single object from its detailed view.

1. On the Objects tab press Edit, select the objects to enrich and click the "Enrich" action (stars icon) in the toolbar. In an object's detailed view the same Enrich button sits below its properties

2. Select step - review the selection. Objects and Attributes control what is included; with Attributes enabled, expand an object's row to pick individual attributes

   • Generate - what the AI produces: Descriptions, Related terms (business terms, attributes only) and Custom fields

   • Context - what the AI is given: Metadata (names, data types and existing descriptions), Assigned terms (terms already linked to each attribute), Column values (distinct example values per attribute from Profiling) and Sample data (up to 20 distinct values per column from a live sample of the table)

   • Additional context (optional) - free-text instructions added to every prompt, for example the output language or domain terminology. These take priority over existing descriptions, so they can also be used to rewrite or translate them

3. Preview step - review the suggestions and edit any of them inline. Rows that would overwrite an existing value are highlighted and left unchecked, so applying does not replace curated content by default

4. Click "Apply selected" to write the checked suggestions to the catalog

Datasets

Datasets can be created to group specific catalog objects, and they can be nested to build a folder structure. The datasets dropdown in the toolbar filters the list to the selected dataset (including its sub-datasets), and its search box narrows a long dataset list.

The folder button next to the dropdown opens the Datasets modal, where datasets are created, edited and deleted. Datasets also support configuring custom fields.

Custom metadata

Clicking the "New object" button

in the toolbar above the results opens a modal to create a new custom object.

• Connection – Select the connection under which the new metadata will be added.

• Schema – Click the schema field to view suggested schemas based on the selected connection, or enter a new schema manually.

• Object – Enter a name for the new object.

• New column button – Adds a new row for inserting a column.

• Manage columns

  • Name – The name of the new column.

  • Data type – Click to select an existing data type or enter a new one manually.

  • Remove column – Click the trash icon to remove a column. Removal asks for confirmation, and warns when the object is also linked elsewhere.

• Save – Confirms and saves all inserted values.

Modifying existing metadata can be done from the object detail view by clicking the "Attributes" button

. This opens a modal for editing existing columns.

• Connection – The objects connection will be preselected.

• Schema – The objects schema will be preselected.

• Object – The object name will be preselected.

• New column button – Adds a new row for inserting a column.

• Manage columns

  • Name – The name of the column.

  • Data type – Click to select an existing data type or enter a new one manually.

  • Remove column – Click the trash icon to remove a column. Removal asks for confirmation, and warns when the object is also linked elsewhere.

• Save – Saves all changes.

• Delete object – Use with caution. This will remove the object and all its columns.