✨ Let's dig deeper

Your metadata estate is a knowledge graph: assets connected by meaningful relationships. With this release, those relationships, and the labels that describe them are first-class, queryable data in the Lakehouse, ready for analysis.

📊 Analytics on your ontology
Because relationship labels are now queryable, you can explore the shape and meaning of your estate in more creative and useful ways-

• Map your ontology - see every labeled relationship between terms ("Is a", "Derived by", "Allowed values") as queryable rows you can roll up and visualize.
• Measure coverage - find how many terms are connected versus orphaned, and where your ontology has gaps.
• Trace semantic lineage - follow "Derived by" and "Is a" chains to understand how concepts build on one another.
• Audit consistency - spot duplicate or inconsistent relationship labels and keep your ontology clean.
• Enrich AI & discovery - feed labeled relationships into the context that powers smarter search and conversational experiences.
• Combine and report - blend relationships with the rest of your Lakehouse metadata for richer, estate-wide reporting.

🌍 Where does this work?

• ✅ User-defined relationships used in the business graph
• This is a table called userdefrelationship inside the entity_metadata (also known as "raw" layer) namespace. You can join the table with other tables like glossaryterm to understand and map the relationships.

Why it matters: Your data estate is a knowledge graph, and its real value lives in the connections. By making relationship labels queryable, the Lakehouse lets you analyze not just what exists, but how everything relates  powering richer governance, discovery, and AI context.

👏 Give it a shot
Query the new relationship data, join it to your terms and assets, and watch your estate's ontology come to life.