Multi Data Source, Load, Connect and Transform
Moving data between different data sources and automating the data flow between systems is always a challenge. FlexRule’s Information Requirement Diagram allows you to visually model the flow while the logic is decoupled from the data sources.
Building Data Quality and Validation Pipeline
Ensuring data quality requires validating business rules. It also requires different perspectives (e.g. quality for safety, compliance, operation etc.). Using FlexRule, different Data Quality and Validation abstractions can be defined and executed against the same source of data.
In-Memory Operation and Manipulation
Data operations can be modelled visually or by data operation expressions (monadic operators). Connect multiple data sources together to enrich and manipulate the data. Then compile the information by applying analytics and AI to build the results all in-memory so privacy is not compromised.
Data Virtualisation – Single View of Things
Build data virtualization based on multiple data sources. Transform the results based on different abstractions by applying business rules. Put together the end results and expose them as a new list or view for your consumers, customers, users, devices and more.