JSON Data Mapping and Transformation with MapForce


JSON is a popular format for transferring data between systems thanks to its simple markup, small footprint, and heritage based on the JavaScript programming language. MapForce supports JSON as both an input and output format for JSON data mapping and transformation. For instance, MapForce can extract information from any popular database and produce a JSON file ready for transfer.
The Requirement: Here is an example of a typical need for JSON data mapping: A manufacturing company controls costs by exploiting a just-in-time assembly process with very little parts inventory on hand. New customer orders are logged in a sales database, and at the end of every day the components needed to assemble that day’s sales are tabulated via a query into the database. The required parts will be ordered from suppliers via a purchase order transferred in JSON format.

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Top Five Reasons to Document Your Schemas


Schema development is often an iterative process, and developers don’t typically start from scratch – XML Schemas, and, increasingly, JSON Schemas, are pieced together from existing documents or inherited from other teams. The ability to discern how schema components relate and analyze notes about development choices is infinitely helpful – but so often impossible due to lack of effective documentation.

Let’s take a look at some of the reasons documentation should be an integral part of your XSD, JSON, or other schema development.

 Benefits of XSD documentation

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Learn a New Programming Language this Summer


What better goal to set for your summer than learning a new programming language? Forget the “beach books” this summer and set your sights on diving into a new coding language – but which one should you pick?

As reported by IDC there are approximately 11 million professional software developers on Earth, and around 690 notable programming languages (according to Wikipedia). I would wager a bet there is a staggeringly equal number of places online where you can learn one programming language or another. Whether you are already one of those 11 million coding experts or a newbie to programming, there is a plethora of information out there to sort though.

For the purposes for this blog post, we will certainly look at the world’s most-widely-used programming languages in 2016 (see this IEEE article), but also at important languages for data manipulation and querying, so we’ll discuss: C and its derivatives (C++, C#, and Objective-C), Java, Python, R, JavaScript, Ruby, SQL, and XQuery.

Deciding where to start depends entirely on the kind of development scenarios you have in mind, so we’ve broken things down for you to make it easier. It doesn’t matter if you are a seasoned programmer looking to add a new language to your repertoire or a novice who doesn’t know the difference between C, C++, Objective-C, or C# yet. We have assembled a list of explanations to help you choose which language you may want to conquer next.

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Data Mapping REST Web Services


MapForce 2016 Release 2 includes expanded functionality for Web Services data mapping, providing robust support for REST Web services. MapForce accepts XML or JSON as the Web service response, allows definition of parameters, and supports custom HTTP headers. Users may define the Web service interface manually or by importing settings from a WADL file or a URL. Manual definition of REST Web Service Settings lets developers create settings based on a template URL. This is a convenient step when developers test and refine REST calls in a Web browser window, since the URL can be copied from the browser to become the template.

REST Web Services can be a pipeline of information for a data mapping project

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New JSON Schema Editor and Data Mapping Debugger Debut in Altova Version 2016


We are excited to announce details of the latest release of Altova MissionKit desktop developer tools and server software products. Version 2016 includes full Windows 10 compatibility and updated relational database support across the product line, and it also introduces some new features that you simply will not find anywhere else.

XMLSpy 2016 includes the first full featured, enterprise-grade graphical JSON Schema editor. MapForce, our data integration tool, now includes a data mapping debugger that will revolutionize the way you define and test data mapping projects. Let’s take a closer look at these new features.

 

Altova Version 2016

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Learn XPath 3.1 with Altova Online Training


We’ve recently updated our free, online XPath Training course to include information on what’s new in XPath 3.1, which is the latest version of the XML Path Language.

XPath 3.1 adds vital new functionality, including support for arrays and maps, functions for processing JSON data, and a collection of new operators and functions.

XPath Training

The XPath Training course covers these in detail, explaining each new function and operator and illustrating its use with helpful examples.  The course also provides sample XML files that you can download for hands-on practice as you progress through the chapters.

Access the free XPath 3.0 and 3.1 Training now!

Or check out our other free online course offerings, including XMLSpy Training, XML Schema 1.1 Training, and more.

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New Support for XPath/XQuery 3.1, WS-Security, and More Debut in R3


Release 3 of the Version 2015 Altova MissionKit desktop developer tools and Altova server software products is now available with updated standards support, customer requested features, and innovative new functionality that will save you time on everything from XPath and XQuery development, to advanced data mapping, to XBRL report rendering and beyond. You can skip right to the good stuff and upgrade now, or click Read More below for all the details.
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