What problem does it solve?
Manually searching large data platforms for specific assets, retrieving their metadata, and understanding associated aspect types is time-consuming and prone to error for data teams, especially at scale.
Core Features & Use Cases
- Search Data Assets: Find tables, datasets, and views in the Knowledge Catalog using Dataplex search syntax, with optional scope and pagination to narrow results to specific projects or organizations.
- Lookup Asset Metadata: Retrieve detailed metadata, relationship context, and aspect details for specific data assets to understand their structure, lineage, and governance tags.
- Explore Aspect Types: Search for aspect types relevant to your query to understand the metadata schemas and labels available for your data assets.
- Retrieve Asset Context: Get rich metadata and relationship information for up to 10 data assets at once to map connections across your data platform.
- Use Case: A data engineer can use this skill to quickly locate all customer-related tables in a GCP project, pull their full metadata including sensitivity labels, and verify what data quality aspects are attached to each table.
Quick Start
Use the knowledge-catalog-discovery skill to find all tables related to customer transactions in your GCP project and retrieve their full metadata and aspect types.
