Support for JSON5 in Altova MissionKit, Server Products, and MobileTogether


Altova products have supported JSON for several years. Now, Version 2017 Release 3 of MissionKit and Server products, and MobileTogether Version 3.2 all include support for JSON5 across the product line.

The JSON data format was originally designed to be machine-written and consumed, promoting efficient communication between servers. Usage has expanded and JSON5 is a proposed extension intended to make JSON code easier for humans to write and read.  JSON5 extends JSON by adding some ECMAScript 5 features and, like JSON, is a strict subset of JavaScript. Specifically, JSON5 permits inline and block comments, allows long strings to be split over several lines, and defines alternate legal syntax options for quotes and commas.  These features are not permitted in standard JSON, so files containing the proposed enhancements are typically identified with the .json5 filename suffix.

This post details specific support for JSON5 in each Altova product.

Learn about JSON5 support in Altova tools

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New XSLT Back-mapping Headlines Altova Release


It’s time for the latest release of Altova desktop developer tools and server software products, and this one introduces numerous innovative features across the product line, including a brand-new version of MapForce Server called MapForce Server Accelerator Edition for even faster processing of data integration jobs.

Let’s take a look at the highlights of Version 2017 Release 3.

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A Typical MapForce Server Use Case


Envision a manufacturing company that controls costs by exploiting a just-in-time assembly process with a very low supply of 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.

The IT department runs a SQL query to identify the required parts and transforms the list into a purchase order in JSON format to be transmitted to the supply chain.

Sound familiar? Our recent blog series on JSON tools and JSON data mapping were based on this real-life scenario. In this post we describe a MapForce Server use case that automates the repetitive task of generating each day’s purchase order.

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The Only JSON Dev Tool You’ll Need


The popularity of JSON is ever-increasing, and XMLSpy is keeping pace. Over the past few product releases, we’ve added intelligent functionality for editing and converting JSON and JSON5 data to the product. Most recently, we’ve completed the circle with one-click conversion between XML Schemas and JSON Schemas, as well as sample instance generation and JSON Schema documentation generation.

Let’s walk through some common examples demonstrating this functionality – and see how these time-saving tools make XMLSpy the only JSON development tool you’ll need.

JSON Dev Tools

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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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