Extending Data Flows in Enterprise Systems
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Solution Overview
Problem
Existing data processing systems lack the ability to extend complex data types and data flows after deployment, limiting their adaptability to specific operational contexts and business needs.
Innovation Solution
The system allows for the extension of data flows by adding attributes to objects and mapping information between objects, enabling the conveyance of information across the data processing system landscape without user input, using a data flow registry and extension infrastructure logic to identify and extend relevant data flows and objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data processing systems use fixed data types and data flows defined before deployment, then system stability and predictability are maintained, but the system lacks adaptability to specific operational contexts and business needs
Solution Approach 1:
The system segments data flows into modular units that can be independently extended. Extension sets contain collections of object identifiers and data flow identifiers that can be selectively applied to specific objects and data flows, allowing granular customization without redesigning the entire system.
Solution Approach 2:
The system performs preliminary actions by pre-defining extension sets that contain all necessary extension information before deployment. These extension sets are stored and can be automatically applied later when specific adaptation needs arise, eliminating the need for complex post-deployment customization processes.
2Adaptability or versatility
If the system allows extension of data types and data flows after deployment, then adaptability to business scenarios is enhanced, but the complexity of managing extensions increases
Solution Approach 1:
The system performs self-service by automatically identifying which data flows involve extended objects and extending them without user input. The extension infrastructure logic autonomously processes extension information, retrieves relevant data flow information, and applies extensions to the appropriate data flows, eliminating manual intervention and reducing management complexity.
Solution Approach 2:
The system uses feedback mechanisms where extension information about an object triggers automatic identification of related data flows through data flow information retrieval. This feedback loop ensures that all necessary data flows are consistently extended when object extensions are applied, maintaining system integrity without requiring manual tracking.
3Productivity
If manual user input is required to extend data flows, then precision and control over extensions are maintained, but productivity and ease of operation are reduced
Solution Approach 1:
The extension infrastructure logic provides self-service by automatically extending data flows without requiring user input. When extension information is provided for an object, the system autonomously identifies all data flows involving that object and applies the extensions, significantly improving productivity and simplifying user operations.
Solution Approach 2:
The extension infrastructure logic acts as an intermediary between extension information and data flow extension. It receives extension information, automatically retrieves relevant data flow information, and applies extensions to the appropriate data flows, eliminating the need for users to manually manage the complex process of extending multiple data flows.
Data Source
AI summary
Systems and techniques for extending data flows are thus described. In one aspect, an article includes one or more machine-readable media storing instructions operable to cause one or more machines to perform operations. The operations can include receiving extension information identifying an extension of a first object in a data processing system landscape, accessing data flow information to identify one or more data flows that involve the first object, and extending, on the basis of identifying the one or more data flows as involving the first object, at least some of the one or more data flows so that information in the extension is conveyed between instances of the first object and instances of a second object during data processing in the data processing system landscape. The identified data flows convey stored information from one object to another.