Additional Information

The Additional Information provides reference topics that enhance user understanding of key Data Catalog functionalities in OvalEdge. Each topic offers detailed explanations, configuration steps, and usage scenarios.

Importance Score Calculation

This topic explains how OvalEdge calculates the importance score for data objects such as tables and columns. It describes the three key parameters—Profiling Score, Downstream Lineage Score, and Relationships Score—and how these are applied at both table and column levels. The article also includes examples to show how importance scores support curation prioritization, impact analysis, and governance alignment. 👉Read more → Importance Score Calculation

Configuring Views

This article describes how users can customize the List View in the Data Catalog. It explains user permissions for creating or editing views and details the available view types: System Views, My Views, and Public Views. It also provides steps for creating or updating a view, selecting and reordering fields, defining the page size, and setting a default view. 👉Read more → Configuring Views

Search Using Conditional Filter

This topic explains how to perform advanced searches in the Data Catalog using the Conditional Search option (accessible via the eight-dots icon). It lists and defines the available conditions—Contains, Doesn’t Contain, Equals, Doesn’t Equal, Empty, Is Not Empty, Ends With, and Starts With—and explains how each condition refines search results for efficient data discovery. 👉Read more → Search Using Conditional Filter

Entity Relationships

This article covers how users can build, view, and edit relationships between tables and columns within the Data Catalog. It explains how Entity Relationship (ER) diagrams are generated using primary–foreign key logic, pattern recognition, and algorithmic analysis. It also describes how to adjust relationships and manually run advanced jobs for relationship discovery. The topic highlights the business value of relationships in ensuring data integrity, reducing redundancy, and improving analytics. 👉Read more → Entity Relationships

9-Dots Action Menu

This topic describes the functionality of the Nine Dots Action Menu in the Data Catalog. It explains how users can perform single or bulk actions on data objects, such as adding or removing tags and terms, adding items to a watchlist or project, downloading assets, running profiling or impact analysis, and more. It helps users quickly access and manage frequently used actions directly from the catalog interface. 👉Read more → 9-Dots Action Menu