- Home
- SPARX Enterprise Architect
- Linked Data
- Data-Centric Modelling
-
Data-driven Enterprise
- Agile without Magic Healthcheck.
- Implementing Semantic Metadata for Data Lakes
- Implementing Virtual Graph
- Developing Data Architecture
- Developing Data-Centric Business Process Architecture
- Business Abstraction PoC Recommendations
- Telling COTS from CRHMS, and understanding full Core Enterprise Application Stack.
- Agile Expectations Board
- Business Architecture for Data-driven Transformation (4 days)
- Business Analysis for Data Projects (4 days)
- Client-side Large Data Project Mentoring and Monitoring
- Blog
- Principal Consultant
- Partners
- Contact
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:
Please contact us for more information
Tweet
back to top