Data Integration
Data Transformation as a Service: SWIFT and EDI
SWIFT and EDI message transformation requires mappings, validation rules and operational support. An as-a-service model brings these capabilities together in a dedicated service.
The idea of an application programming interface goes back to the early days of computing. What changed is the weight placed on it. Libraries and operating systems exposed routines and protocols in the 1960s and 1970s. APIs grew more capable through the 1980s and 1990s, and the arrival of the public internet turned them into the way systems talk across organisational boundaries.
SOAP, then REST, made that ordinary. REST is now the default for building web interfaces because it is simple and it bends easily. That very ease is where the trouble starts.
Common API architecture risks
We have spent years on data integration across B2B platforms, SOA, ESB, message queuing, transformation and APIs. The same problems come back.
Uncontrolled point-to-point interfaces
When an API estate is built without management tooling or a control process, organisations end up with thousands of APIs whose existence is not always known and which nobody dares modify because the consequences are unclear. The count grows, the duplicates multiply, and parallel APIs do nearly the same job with nobody governing how they evolve.
Versions
API management means juggling versions, each with its own behaviour and compatibility requirements. Keeping old versions alive for existing systems is where the cost accumulates, and dependencies between versions create conflicts that surface late.
Maintenance
Maintaining an API is not only fixing defects. It is following new user needs and new technology. Preventive maintenance is what keeps it safe and fast, and it needs resources and planning that were rarely budgeted.
Dependency loops
Cyclic dependencies between APIs create loops where A needs B and B needs A. Debugging and upgrading both become hard, and processes lock up in ways that are painful to diagnose.
Volume and performance
As usage grows, handling the request volume becomes the constraint. Response times and traffic peaks are where it shows. Designing for that volume without giving up performance is a real architectural problem, not a tuning exercise.
Documentation
Documentation decides whether an API gets adopted or worked around. Outdated or thin documentation produces implementation errors and lengthens every project that touches it.
Target architecture components
We aim for an API architecture that uses current API technology and adds the management, security and performance layers around it. Six components carry that.
An API management system
Control and expose APIs so that consumers are identified and usage is measured. Use a management platform to monitor, protect, distribute and analyse. The result is better security, real visibility into usage, and a manageable lifecycle. Done properly it also lets you monetise usage and run partner relationships on evidence.
An SOA layer for publication
Decouple API consumption from the data sources behind it, with an intermediary layer between the APIs and the applications. You get modularity, simpler maintenance and reusable services.
Data virtualisation
Give access to the information that is needed while respecting regulation, security rules and the handling of sensitive data. Virtualisation removes the need to extract and duplicate. Storage and processing costs fall, confidentiality obligations are met, and access improves. It also removes the reflex of writing an API for every short-term internal need.
B2B communication tooling
Move data securely and efficiently across the protocols partners actually use worldwide, without giving up throughput. Better data security, better handling of transaction volume, more interoperability.
Mapping and transformation tools
Take the complexity of data processing out of the API itself and put it in tools built for it. API performance improves, complexity drops, and integration gets easier to maintain.
A process for creating APIs
Define how an API is created and maintained before the estate grows. That is what stops the overuse and the duplication, and it reduces development cost by preventing the work rather than cleaning up after it.
In short
Our approach combines API management, an SOA layer, data virtualisation, B2B communication, real transformation tooling and a defined development process. Together they answer what the business needs now and leave room for what it will need next, which is the part an API-only architecture never handles.