Transformer offers a powerful suite of tools to create and maintain complex mappings, validations and business rules, and to manage message standards effectively. To support the ever-increasing use of APIs to provide connectivity, Transformer has been enhanced with a range of new features for API-based messaging.
Work with JSON Schemas and Swagger API specifications
Transformer users can easily import JSON Schemas and Swagger specifications and use them as Transformer message definitions. Similarly, Transformer message definitions can be output to JSON Schema / Swagger.
Master the evolving JSON standard
The industry has not yet settled on a single “best practice” way of working with JSON. Project teams have to make many decisions: which features of JSON Schemas to use and which to deprecate, whether to use JSON Schemas at all, whether to offer interfaces in JSON only or offer client applications a choice of JSON or XML, and how to manage the fact that JSON schema doesn’t provide for some common validation definitions, like numeric precision.
For this reason, Transformer offers a powerful toolset that can be used to support a variety of ways of managing JSON messages – importing schemas, importing example messages, authoring structures through Transformer’s own design tool, automatically supporting JSON representations of other messaging standards, layering XSD-style validation constructs over JSON message definitions, and allowing a mapping designer to manipulate and interrogate JSON structures that are only loosely defined.
Benefit from full JSON interoperability
Transformer allows the user to create outputs in JSON format from any starting point. For example, Transformer’s ISO 20022 library allows the user to create ISO 20022 compliant messages in either XML or JSON. This capability is available for every message standard supported by Transformer, and thus allows global usage of the JSON format.
Build solutions quickly, without coding
Transformer dramatically shortens the time taken to build and maintain solutions involving JSON.
The analyst using Transformer creates solutions directly in the intuitive Design-Time GUI. There is no coding or scripting stage, even when the required data transformation is highly complex. Projects remain clearly articulated and easy to maintain, and removing the old-fashioned ‘spec handover’ from analyst to developer eliminates a major source of risk, errors and delay.
Users configure mappings very easily in Transformer. For example, copying a field from the source to the target message just takes a simple ‘drag and drop’ action – Transformer automatically takes care of any reformatting required by syntax differences between source and target fields, such as dates, rates and amount formats. To handle more complex mappings, Transformer provides a huge range of ready-made ‘mapping action’ building blocks. Complex logic can be created in the same way, combining ‘IF’ conditions, repeating loops, SQL calls and more. So even really complex JSON solutions can be created at lightning pace.
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