Implementing Semantic Metadata for Data Lakes

While the traditional approaches to Metadata may work well for databases with a couple of dozens of tables and in familiar domain, they weren’t meant for the scale and complexity of Data Lakes. Fortunately, the Resource Description Framework, introduced by the creator of World Wide Web in 1997, provides facilities for highly descriptive and queryable representation of very complex datasets and conceptual domains.Business Abstraction offer is based on established standards: Cube Ontology and Provenance Ontology. It relies on two established courses are employed to ensure the core staff comfortable involvement:

Enterprise Linked Data

OWL Ontology Modelling

Ont top of generic paradigm and standard Ontologies, Business Abstraction will:

• Identify specific Metadata needs
• Implement Enterprise-grade Semantic framework based on Stardog database
• Develop client-specific Ontologies to complement the generic Provenance Ontology
• If required, implement custom APIs and frontend.

Please contact us for more information