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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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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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Tools for JSON Comments and JSON Lines


Altova XMLSpy and MapForce JSON tools have long supported JSON and JSON5 for editing as well as data mapping and conversion. As new JSON formats arise in response to real-world usage, the support in these tools is expanding.

This article will help explain the advantages of two newer formats –  JSON Comments and JSON Lines – and show how to use them in XMLSpy and MapForce.

Tools for JSON Comments and JSON Lines
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Generating a Schema from Multiple XML Instances


I was recently talking with one of our Support Engineers about common questions he receives from customers. One that comes up a lot is schema generation, specifically, “How can I generate an XSD from XML?” The answer, of course, is to use your favorite XML editor. XMLSpy will generate a valid XSD from a DTD, a relational database structure, a JSON Schema, and of course, an XML instance.

But what many customers are surprised to learn is that the XML editor will also create an XML Schema based on a group of related XML files – and this is a common requirement. Let’s take a look at how it works.

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XPath & XQuery Tutorial for SQL Pros (Video)


Prior to starting at Altova I had zero experience with both XPath and XQuery. The first task I was presented with was to train myself on both query languages as quickly as possible and produce a concise video that would serve as an XPath tutorial and XQuery tutorial. It was important to develop a thorough understanding of their features and capabilities because both languages are integral to app development in MobileTogether and querying data in XMLSpy. I started with a strong background in SQL, learning XPath and XQuery by building queries first in SQL, and then determining how to replicate them in both query languages.

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