Graphenus facilitates the implementation of discovery, observation and governance The data management system is based on the platform's own components as well as on external systems, enabling an integrated management of the data lifecycle throughout the organisation.
The platform supports metadata ingestion from over 50 data sources.
- Possibility of incorporating new metadata sources through ad-hoc developments.
- Mechanisms push-based and pull-based for dynamic incorporation of metadata.
- Dynamic metadata processing prior ingestion (parameterisable & programmable).
End-to-end governance capability
- Definition of domains information, glossary of terms and dynamic tags to label the data.
- Traceability complete and historification of change.
- User front for management .
- Automatic or semi-automatic acquisition of the lineage of the data
Proactive management: dynamic response to metadata changes
- Availability of integration via API y event notification change in the metadata.
- Integration of data governance in event-driven architectures.
- Impact analysis to changes in the data.
Graphenus is based on a multi-tier architecture that integrates the best opensource tools at each level:
- Automatic metadata ingestionThe provisioning of metadata from different information sources and processing systems can be done both manually and automatically.
- By means of the dynamic navigation through metadata it is possible to carry out Discovery at datasetsdashboards, dashboard models, modeling artificial intelligence and ETL processes.
- Graphenus integrates Datahub into the architecture of the security of the platform.
- It is possible to define hierarchical dictionaries of business termsand to associate them with the organisational structure of data governance of the organisation.
- Disruptive architecture: Datahub follows the push-based pattern, which facilitates continuous updating of the metadata, making it easy to scale to any level.
