Posts

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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API Data Mapping


Web service data integration with MapForce is a popular and proven strategy to capture timely information for analysis or generation of user-friendly reports. In an earlier post we demonstrated API data mapping in 5-day weather forecasts for busy cargo shipping ports by reading Web service data in JSON format and mapping to richly formatted Excel spreadsheets. The weather API we used  is hosted by OpenWeather, a provider of historical, current, and weather forecast data.

But integrating data from any API is not a set-it-and-forget-it task. When you build a solution based on external data, you have to react quickly when the data structure changes. Since our original integration project OpenWeather revised the data delivered by their API. The API now includes wind gust predictions in a JSON property separate from wind speed. Since wind gusts are suspected as a cause of the recent Suez Canal blockage the new data is very relevant to our application! Fortunately, both the MapForce data mapping and the Excel spreadsheet are easily revised to add new data.

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Data Mapping with XSLT3 Math Functions


XSLT3 adds trigonometry and other advanced math functions, new formatting functions, functions to collect environment variables, and more, extending XSLT and XSLT2 XML transformation standards. Data analysts and other data professionals can apply XSLT3 functions to solve XML data mapping and integration challenges that require complex mathematical computations. Let’s look at some MapForce examples of data mapping with XSLT3 math functions using trigonometry and other complex math expressions.

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New XML Grid and More in v2021r2


In the latest release of Altova desktop developer tools and server software products, we’re introducing a completely rebuilt XML Grid View, support for XSLT3 for XML data mapping, statistics and charts for monitoring FlowForce Server, and much more. Let’s take a look at the highlights of Altova Software Version 2021 Release 2. 

New features in Altova v2021r2
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Data Mapping Binary Objects – Part 2


Binary objects – BLOBs — can be cumbersome to manage in databases. In an earlier post we described a MapForce data mapping to insert binary objects into a database with generated metadata to identify the BLOBs later. The companion challenge in data mapping binary objects is to extract binary data and save it in a comprehensible form faithful to the original.

Let’s look at how that’s done.

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New tools for JSON, EDI, SWIFT, and XBRL in Version 2021


As standards-based technologies and their applications evolve, so does the functionality that users require from developer tools. In our latest release, we’ve added new ways to work with XBRL, JSON, EDI, and more that help Altova customers work faster and more efficiently.

Let’s take a look at some highlights from the Altova Software Version 2021 release.

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Validating Data Transformation


Software developers and other data professionals often need to transform data from one format to another. These transformations can be simple one-to-one conversions or may require more complex manipulation. For instance, relationships must be generated when importing flat CSV files into a database, or source data may need to be split for the target, as in full name vs. first, middle, last, and optional suffix. Validating data transformation is critical to prevent data loss or corruption.

In our recent post on Web service data integration combined a string value for GMT time with a numeric offset in seconds to generate the local time for weather forecasts. We created a user function that performed all the steps required to complete this operation. MapForce includes a powerful interactive data mapping debugger that can easily trace and validate this transformation. Let’s take a look at how it works.

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