Conway‘s law says: products look like the organization, that develops the product. How to avoid this effect? Highly connected products require network organizations and highly connected data. The Data Context Hub effectively integrates heterogeneous data sources, provides consistent data and allows system view and context to data from any perspective.
Making knowledge of heterogeneous data and relations visible and understandable: Data Context Hub acts as a combination of a single point of access and a causal content-based integration layer. Its potential is growing with the amount of integrated data and with the demand for dynamically changing viewpoints.
Data Context Hub – Aim and Value
Seamless navigation on connected data
Analysis and context
Traceability of heterogeneous data
Traceability of heterogeneous data
Agile data modelling
Simplification of IT architecture
Data Context Hub in a nutshell
Key Elements for Future Engineering
Technology Use Cases
Data Context Hub provides web-based service modules that allow the easy and effective integration and orchestration of manyfold data sources, the processing of the content into the graph data base and the highly performant traversing of the graph for unlimited complexity of queries.
Utilization, exploration, or provision of the graph content can either be done by the sophisticated domain-independent EXPLORE frontend application or by any customer application using the provided frontend API. The complete platform may either be deployed on a local server or in cloud environment.
