Include this AI workflow as part of your documentation to keep metadata self-descriptive.
Use Ab Initio's built-in scanners to ensure the Hub stays updated automatically whenever a graph is deployed.
These are "bridges" that import metadata from non-Ab Initio sources like Oracle, Teradata, Snowflake, Informatica, or BI tools like Tableau and MicroStrategy. ab initio metadata hub documentation
At its core, the Metadata Hub is built on the principle of integration. Modern enterprises utilize a patchwork of technologies, including legacy mainframes, cloud-based warehouses, and complex ETL (Extract, Transform, Load) tools. The Metadata Hub excels in its ability to ingest "technical metadata" from these diverse sources automatically. Through its robust adapters, it captures the physical structure of data—such as table schemas and file formats—and the transformation logic used to move data from point A to point B. This automated harvesting ensures that the documentation of the data landscape remains current, eliminating the manual overhead that often leads to outdated or inaccurate records.
Assign owners to business terms to prevent the glossary from becoming cluttered or inaccurate. Include this AI workflow as part of your
Use custom metadata attributes to store links to external documentation (Confluence, SharePoint, GitLab). For example, add an attribute DocURL to every project-level folder in the Hub.
/docs/mdh/ installation.md config_reference.md api_examples.md backup_procedures.md lineage_examples.md At its core, the Metadata Hub is built
The Ab Initio Metadata Hub (MHUB) is a centralized platform that integrates, enriches, and visualizes metadata from various enterprise sources to provide comprehensive data lineage and governance. It features automated semantic discovery, data quality integration with DQE, and both technical and business-focused data lineage. For more information, visit Ab Initio . Capability Data Catalog, Quality & Governance - Ab Initio