The metamodel is used everywhere in Scaled Risk. To use Scaled Risk, the user creates, then refines a model. This model is then used to validate the data, to store it efficiently, to search it, to offer data management services to third parties, and to present the data in the user interface, allowing the user to visualize it, change it, delete it.
This technical paper, written for technical architects, explains firstly, the rational being this data model, and secondly how Scaled Risk leverages it.
Why is the metamodel important? - Schemaless database - Explicit schema vs implicit schema - Model for the storage - The HBase solutionScaled Risk - Scaled Risk metamodel - Scaled Risk solutions for managing a metamodel - Scaled Risk usage of the metamodel - Scaled Risk metamodel featuresConclusion
About Scaled RiskScaled Risk develops, markets and supports a wide range of software to financial institutions. These next-generation solutions based on Big Data technologies cover all cases of application of Risk Management and Front Offices, position calculation, Trade Analytics and real-time fraud detection.