5 Reasons to Choose a Graphical JSON Schema Editor


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.

JSON Schema Editor in XMLSpy
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XML Reports to Text


Creating business reports from data stored in XML and relational databases is a common requirement in most organizations. However, it’s often complicated by the need to have information available in both web formats and print-ready formats such as PDF. Altova StyleVision takes a unique approach to report creation by letting users design reports from XML, databases, and even XBRL in a visual way – and output them in multiple formats simultaneously.

Over the years, support has been added for output to HTML, RTF, Word, and PDF – and now, based on customer feedback and requests, StyleVision also supports direct output to text. Let’s take a look at how it works.

Report designer
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Data Mapping NoSQL Databases


NoSQL databases are non-tabular databases that store data differently than traditional databases made up of relational tables. Two of the most popular NoSQL databases, MongoDB and Apache CouchDB, store data as collections of BSON (binary JSON) and JSON documents. These databases leverage flexible JSON schemas and scale easily with large amounts of data and high user loads.

Altova MapForce has long supported data mapping all popular relational databases and now also includes native support for data mapping NoSQL databases. MapForce includes functionality for inserting, extracting, filtering, and ordering NoSQL data. Let’s look at an example.

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Learn About OIM for XBRL


XBRL – the eXtensible Business Reporting Language – is a global framework for exchanging business information. The standard, maintained by XBRL International, is based on XML and designed to offer a standards-based approach to communicating and exchanging financial information between business systems.

The current version of the standard was finalized in 2003 and since then has received widespread uptake and eventual mandates from numerous countries and regulatory agencies, including the United States SEC. Adoption of the standard is due to advantages that include enabling automation and cost savings, better quality of reported data, improved analysis, and better quality of information used for decision making.

Despite its benefits, the complexity of XBRL presents a sharp learning curve for accountants and other stakeholders not familiar with XML, leading to errors and increased consultancy costs. In addition, coinciding with the adoption of big data technologies, XBRL has been used to represent ever growing datasets, which can be resource intensive.

XBRL International has worked over the years to modernize and simplify the standard in response to those challenges, and the Open Information Model (OIM) is an exciting and innovative solution.

Accountants learning about OIM XBRL
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New Features in XML and JSON Grid Editors


XMLSpy is known for its graphical editing views, which make working with and editing XML and JSON more straightforward – and therefore increase developer productivity.

Both XML Grid and JSON Grid have received major updates in recent releases, and we’re committed to making these graphical views as feature-rich and effective as possible through continuous improvement. As such, we rely on and appreciate feature requests and developer feedback. The latest release of XMLSpy provides some great updates in response to this input.

XML and JSON software developer
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NoSQL Database Support and More in Version 2022


Altova Software Version 2022 is now available, with exciting new support for mapping and converting NoSQL databases in MapForce, pure text report output in StyleVision, and Windows 11 across the product line. The release also adds support for the exciting new OIM standard from XBRL International.

Here’s a look at the highlights.

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Maintaining Low Code Apps


Low code software tools can speed mobile application development by freeing developers from routine coding tasks and encouraging focus on high level app requirements. However, some developers, project managers, and even entire enterprises remain wary of low code tools. These stakeholders are afraid testing and maintaining low-code apps will be more difficult and costly over time.

But not all low code or RMAD (Rapid Mobile App Development) tools are alike. A low code tool that is simply a user interface to a code generator and builds apps from a set of templates could be attractive to an inexperienced developer. When an issue arises, a highly skilled programmer might need to diagnose and modify the generated code for each mobile OS to create a solution.

MobileTogether is a cross-platform RMAD tool that works differently. MobileTogether uses a combination of drag-and-drop UI design, a powerful Action Tree visual language for event handling, and standardized functional programming for data selection and processing. MobileTogether includes a built-in Simulator window to instantly execute the app to test logic, view the UI as it will appear on a variety of iOS, Android, Windows, and other devices, and examine changes in workflow data during execution. MobileTogether also includes sophisticated automated testing features and a built-in debugger to test and debug apps with precision and examine app behavior directly in the design environment.

Let’s look at how some real-world app maintenance requirements are simplified in MobileTogether.

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