Prepare the dataset
Collect sources and apply required transformations and checks. Decide which fields and records the consuming application should be able to receive from the result.
Illustrative use case
Give applications the data they need
Prepare stock levels, prices or reporting figures and share them through your own API. You choose the data, response format and access rules. Data Bridge creates a reference for the team connecting the app.
REST APISQLExcelExternal data services
HOW THE WORKFLOW RUNS
REST APISQLExcelExternal data services
01Prepare the dataset
02Configure data output
03Choose the refresh behaviour
04Share the contract
THE CHALLENGE
What slows the work down
Several applications need the same reference data or calculated measures. Each integration reads the sources and repeats the preparation logic. When a business rule changes, the applications can produce inconsistent results, while support teams lack a shared contract to troubleshoot against.
IT teams, internal-application developers and systems integrators.A PRACTICAL EXAMPLE
Illustrative scenario: an internal portal reads prepared exchange rates for a date or a product catalogue by category. A workflow collects available sources, applies agreed rules and exposes the result through an authenticated data endpoint.
HOW THE WORKFLOW RUNS
From the first step to the right action.
Configure data output
Add the API data-output block and its endpoint. Choose JSON, JSON Lines, CSV or XML, then configure the supported selection parameters.
Choose the refresh behaviour
Use the stored result of the latest run or configure a run on request when appropriate. Agree the maximum data age and response limits.
Share the contract
Give an authorised integrator access to the generated documentation. Test parameters, pagination, empty results and the application’s behaviour when a request fails.
VALUE FOR THE TEAM
Make the work repeatable.
- Consumers receive data through a defined contract instead of duplicating the complete preparation process.
- Endpoint parameters and documentation reflect the workflow configuration that produces the particular dataset.
- Internal source structures can be separated from the fields actually required by a consuming application.
Keep control of the result.
- Set API-client permissions and verify that responses exclude unnecessary internal or personal information.
- Agree result freshness, pagination and consumer handling of limit errors or missing data.
- Enable public access only deliberately; a corporate data endpoint can remain authenticated.
THE WORKFLOW OUTCOME
Applications read a consistent result through a maintained API, while the data team controls preparation rules, response contents and access permissions.
Capabilities behind this workflowFROM IDEA TO WORKING FLOW
Bring your challenge. See a way forward.
Sources, rules and outcomes — let’s build the conversation around your workflow.