About iDaaS
Intelligent DaaS (Data as a Service) enables the building and delivery of systems and platforms in a secure and scalable manner to support today and be ready to build for tomorrow’s needs.
Intelligent DaaS is about securing assets while driving data innovation needs for scalable platforms to enable invention, re-invention so organizations can capitalize on them in any manner aligned to their business needs.
Product
Strategic Requirements
Development
Deliver Right Features
Architecture
Make Right ‘Easy’
Operations
Systems That Never Stop
Connected Health / Intelligent DaaS Components
Component Type | Description | Red Hat Product | Upstream Project |
Receive (Integration) | Receive or Send Data and process it | Red Hat Fuse | Apache Camel |
Route (Queuing/ Data Distribution) | Route information in a consistent and enterprise manner | AMQ-Streams | Apache Kafka |
Run / Revise (Business Process/ Business Rules/ Mapping/Parsing) | Enable real-time applications to be implemented against data as its streaming | Decision Manager Process Automation Manager | Drools Drools Fusion jBPMN OptaPlanner |
Resolve Data | Knowledge, Insight and Conformance | Fuse AMQ-Streams | Apache Camel Apache Kafka |
Synthetic Data | Synthetic Data Platform | OpenShift Fuse Quarkus | K8 |
De-Identification/ Anonymization | Platform to de-identify data | Fuse AMQ-Streams OpenShift | Apache Camel Apache Kafka K8 |
Industry Business Use Cases for Connected Health/intelligent DaaS
- Application Integration and/or Data Integration/Interoperability
- Data Management (building/leveraging) – data lakes, data warehouses, reporting platform(s)
- Member Experience
- Customer Experience – enable patients data to be routed to various systems based on real time data rules based processes