Process integration / 10
Keep proven software. Add missing connections.
The legacy system serves its purpose but does not offer the same interfaces as a new application. We examine existing access options and develop narrowly scoped middleware to bridge the differences in a controlled way.
The starting point
A missing REST API does not automatically require replacing the system.
A business application exports XML overnight, while a new portal expects structured API data. SOAP endpoints, approved views or a documented batch import may exist. These approaches can be more reliable than modifying internal tables.
We begin with the supported scope and permitted delay. Middleware translates contracts and states; it must not silently establish a second layer of business logic that nobody maintains.
What DataSource delivers
Assess access. Develop adapters. Plan the transition.
Assess access
Review vendor documentation, edition and actual export and import options. Assess reading, writing and supported operating conditions separately.
Develop adapters
Separate source access from mapping and target access. A dedicated intermediate model decouples legacy system specifics from the new consumer.
Plan the transition
Scope the first data flow, reconcile in parallel and agree on a fallback. Document runtimes, maintenance windows and operational handover.
Legacy-Export (XML / Datei)
↓ Quelladapter
Staging + Prüfung + Zwischenmodell
↓ Zieladapter
Neue Anwendung (API)
Rückmeldung → definierte Importdatei / unterstützter EndpunktTechnical scenario / Illustrative example
A file export becomes a controlled data flow.
Illustrative transition architecture. The new application receives an agreed model. Writes back to the legacy system are added only when a supported approach and business rules are available.
Example data and proposed rules. The actual interfaces and business rules are assessed for your project.
Error handling, security and operations
Availability: validate and operate.
Availability
An overnight source does not provide guaranteed real-time data. Explicitly state acceptable delays and how late files are handled.
Compatibility
Do not assume internal tables or screen automation are stable APIs. Assess unsupported approaches only after examining their specific risks and maintainability.
Ownership
Agree on adapter versions, mappings and data storage with the responsible team. Retention, data access and recovery are part of the data flow's service scope.
Technical questions
Details that matter before implementation.
Legacy · Adapters · File exchange · SOAP · Middleware · Staging
Do we immediately need a large integration platform?
Not necessarily. A narrowly scoped adapter may be sufficient. The number of connections, operational needs and future expansion determine the appropriate architecture.
Can middleware replace all missing functions?
No. It can connect data and processes, but cannot reliably create a source capability that does not exist or is unsupported.
How do we retain the option of changing systems later?
Through clearly separated adapters and a documented intermediate contract. An adapter can then be replaced during a system change while business rules remain traceable.
For technical clarification
Start with your actual workflow.
Identify the vendor and version, available exports, imports, documentation and maintenance windows. An anonymized original export and the desired target model make assessment easier.
In our initial discussion, we clarify available access, data ownership and a narrowly scoped first data flow. We then agree on scope, responsibilities and commercial terms.
Anonymized examples are enough to get started. Please do not send passwords, tokens or personal data from production systems in your initial inquiry.
Related challenges
Your next connection in context.
REST API integration
Documentation is available and a test request works. Yet everyday operations still produce missing data or duplicate records. DataSource connects your REST API to the actual business process and plans for missing responses as well.
Connect SQL databases
Reporting, portals or business applications need data from another database. We plan a connection that accounts for access rights, consistent data states and the rules of the applications involved.
Automate CSV imports
The file arrives every day. Someone corrects columns, uploads it and then checks error messages. DataSource turns this recurring task into a documented import with clear rules for incomplete and invalid data.