Organizations are increasingly seeing data as one of their most valuable assets, driving the trend for more comprehensive and responsive data governance to remain competitive. TopBraid EDG enables management and governance of critical business assets including business glossaries, reference data, crosswalks, ontologies, taxonomies, content tag sets, data, policy and lineage models and other business, technical and operational metadata.

TopBraid EDG data models include both relational and big data constructs. For the big data world, TopBraid EDG can also support configuration and job metadata specifications. For better alignment of data, TopBraid EDG comes with pre-built vocabularies of commonly used data types, such as Oracle, MySQL, Horton Works, Impala, and Apache Kafka. Using semantic standards-based graph technologies, TopBraid EDG offers flexibility, extensibility, and easy linkage across all data assets.

Since management of data remains disconnected, an over-arching need is for meaning to be ascribed and traced from business glossaries to data elements. Data governance addresses the need to document how data is produced and consumed, what data is supporting business functions and enabling business capabilities, how security considerations govern access and how policies govern needs such as data retention and data provisioning. One of the central focuses of data governance is to ascribe and trace meaning from business glossaries to data elements.