JSON Archives

Get to Know Your Favorite XML Editor Again [Video]

May 20, 2020/in Applications, JSON, XML /by Erin Cavanaugh

For more than a decade XMLSpy has been a leading choice for all things XML. But over the years we’ve broadened the scope by adding hundreds of new features, supported standards, and innovative tools to make development faster and easier.

This new overview video offers a quick, high-level look at the various tools and options available, including functionality for JSON, XPath/XQuery, HTTP testing, debugging, back-mapping, and more.

Check out the XMLSpy demos page for more videos and in-depth tutorials on the JSON Grid Editor, XPath and XSLT for JSON, comparing XML files, and more.

Get access to all these features by upgrading to the latest version of XMLSpy or downloading a free, 30-day trial.

Tags: demo videos, JSON editor, XML Editor, XMLSpy

Web Service Data Integration

May 11, 2020/in Data Integration, JSON, Tools /by David McGahey

In a previous post we wrote that every data integration and reporting task needs to start with a clear understanding of the source data. Using grid view in XMLSpy, the industry-leading XML and JSON editor, we analyzed JSON data for 5-day weather forecasts retrieved from a Web service.

Continuing with our earlier scenario, we’ll use MapForce, the award-winning, graphical data mapping tool for any-to-any conversion and integration, to map the forecasts for a series of major cargo shipping ports into nicely formatted Excel documents. We’ll want to highlight any predicted high winds or heavy rainfall that could cause delays by interfering with cranes loading and unloading containers, or slowing ships entering and exiting the harbors.

New Tools for XML and JSON Editing

March 13, 2020/in Development, JSON, XML /by Erin Cavanaugh

The latest release of XMLSpy adds several user-requested features for working with JSON and XML, as well as new functionality for debugging XPath, updated standards and database support, and more.

Tags: JSON, JSON editor, new features, XML, XML Editor, XMLSpy

Data Mapping JSON Lines

February 24, 2020/in Data Integration, Database mapping, JSON /by David McGahey

The JSON data format continues to evolve as an open standard as it is creatively applied to new data interchange requirements. JSON Lines, defined at http://jsonlines.org/, is a convenient text format for storing structured data where each record is a single line and a valid JSON object. JSON Lines handles tabular data and clearly identifies data types without ambiguity. This allows records to be processed one at a time, which makes the format very useful for exporting and sending data.

Altova MapForce supports data mapping JSON Lines as either a data source or target. Let’s look at a mapping project to extract records from a database table and map to a JSON Lines file for output.

Embedding Images in XML

January 15, 2020/in Development, JSON, XML /by Erin Cavanaugh

One of the really cool features added to XMLSpy a few years ago based on customer requests is the ability to embed external files – such as images – directly in an XML document as encoded text. This gives you the option to package all required data from various external files together in one large XML document. The functionality is also available for embedding images in JSON documents.

Let’s take a look at how easy it is to accomplish this in the XML and JSON editor in just a few steps.

Photo for embedding images

Tags: JSON, JSON editor, XML, XML Editor, XMLSpy

Version 2020 Revolutionizes JSON Editing

October 9, 2019/in JSON, XBRL, XML /by Erin Cavanaugh

We’re introducing several exciting new tools for JSON development in Altova Software Version 2020, but there’s much more too. Support for the XULE XBRL standard, comparing CSV against database content, and updated database support are just a few of the new features introduced across the product line.

Let’s take a look at the highlights.

Tags: compare data, JSON, JSON editor, v2020, XULE

Handle HTTP Errors During Automated Data Integration

July 29, 2019/in Data Integration, JSON, Tools /by David McGahey

Data analysts and other professionals often need to generate real-time data through automated execution of data mappings that request Web services and save the results. During automated execution it’s important to gracefully handle any unexpected HTTP error rather than terminate the integration task.

In an earlier post we discussed conditional processing of a REST Web service response to handle HTTP errors, where separate output files were generated for a normal response and an error. Now let’s look at a revised mapping solution for the airport status example to generate a single mapping result file that contains either the requested airport status or a description of the error.