Learn more about the Altova GDPR Compliance Database and try it free for 30 days.
Data integration projects that include information from external Web services may be vulnerable to HTTP errors when retrieving remote data. When data mappings run under automated control it’s especially important to detect and report errors even if errors only occur very rarely.
A MapForce data mapping can include Web service calls and output the result directly to a file or database, or combine it with other inputs for further processing. Regardless of the final output, an HTTP Web service error encountered in a REST Web service request puts the mapping at risk.
MapForce includes features for handling HTTP errors instead of simply aborting execution of a mapping. Developers can configure the body of a REST Web service call to handle and report exceptions based on the HTTP status code returned.
Let’s look at an example.Read more…
The latest release of the MobileTogether app development framework adds additional support for defining geolocation and video integration in your apps for iOS, Android, Windows, and other platforms.
Let’s take a look at how these new features enhance existing map and video tools in MobileTogether.Read more…
Critical business processes depend on reliable data and database administrators and other data analysts want to be confident in the integrity of information stored in database tables. During automated ETL (Extract Transform Load) operations or other database import tasks, invalid data might be encountered that jeopardizes success of the procedure. Altova MapForce includes database exception handling to roll back the affected data when an error occurs and optionally proceed with the rest of a database mapping.
For instance, an error in a single record need not prevent execution of a mapping from continuing, such as when certain database constraints prevent the mapping from inserting or updating invalid data.Read more…
The advantages of JSON as a lightweight, interoperable data format have secured its place as a favored mechanism for serializing and transporting data on the web. However, most applications still benefit from or require validation of client-submitted data. Enter the JSON Schema spec, which lets you describe the structure of JSON data for a particular application, for both documentation and validation purposes.
Though JSON Schema code is by design human-readable, building a complex schema with nested and repeating sections in a text-only editor becomes time consuming and error-prone quickly. Let’s look at five ways a graphical editor is a must-have for JSON Schema development.Read more…
Altova MapForce is an any-to-any data transformation, conversion, and ETL tool for integrating data.
A graphical data mapping tool, MapForce has an intuitive drag-and-drop interface that lets you easily convert data between any two formats, such as XML, JSON, relational databases, EDI, and more. It also features an extensive library of conversion functions that can be chained together to form custom functions that can be reused throughout your projects.
Data translated by MapForce can be pulled to or pushed from any relational database and all data management products, and it can be adapted to customize in-house data management solutions.
The MapForce tutorial video below covers all major features offered by the data integration tool and shows example mappings between several different types of files.
You can try MapForce yourself with a free, 30-day trial.
Altova’s Country by Country (CbC) Reporting Solution makes it easy for multi-national companies to generate valid XML reports to meet the filing requirements mandated by the OECD. Now, in Version 2.0, the CbC Reporting Solution includes new functionality for generating correction reports, as well as the ability to import existing reports for easy analysis.
Let’s take a look at how these new tools make it even easier for customers to meet filing requirements without having to deal with the underlying CbCR XML syntax.Read more…