Steps and Tips to Migrate a Windows MobileTogether Server to Linux


The MobileTogether app development framework includes MobileTogether Server, the back-end hub that powers your mobile and desktop apps.  Available for Windows, Linux, and Mac OS, MobileTogether Server acts as a gateway between end-users and back-end data sources such as databases.

Migrating an existing Windows MobileTogether Server to an Ubuntu box is easy when no database connections are required.  But, if you have database connections, MobileTogether Designer can do all the heavy lifting for you.

As an IT administrator who works with physical and virtual hardware as well as desktop and server software, it has made life easier to create many scripts to help manage repetitive tasks.  Though I’m more of a ‘citizen developer’ with no formal developer training, using MobileTogether Designer to migrate a server with database connections was fast and easy.   Below is a look at how I was able to save my company the cost of a Windows server license by moving solutions to an Ubuntu platform.

computer room

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Node Functions Simplify Mapping Hierarchical Data Structures


MapForce node functions simplify mapping hierarchical data such as XML nodes or CSV, JSON, EDI, or database fields by permitting users to define a data processing function at the node level and apply it recursively to all descendant items.

Similarly, default values can also be assigned to nodes and automatically applied to descendants.

Defaults and node functions are particularly useful when a data mapping and transformation task requires the same processing logic for multiple descendant items in a structure, for example:

  • Replace null values with some other value, recursively for all descendant items
  • Replace a specific value (for example, “N/A”) with some other value recursively for all descendant items
  • Replace all database null values when reading from a database table
  • Trim all trailing spaces for all values from a source database
  • Append a custom prefix or suffix to all values written to a target file or database
  • Formatting of output values
  • And many others

Defaults and node functions simplify mapping hierarchical data by eliminating need to copy-paste the same function multiple times into a mapping. Repeating the same function unnecessarily clutters the mapping layout and makes it more difficult to understand or revise.

Let’s look at an example.

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How to Speed Up Your XSLT – Automatically


Once you’ve written XSLT code to produce HTML or some other output, optimizing it to deliver the fastest execution is tricky business. Even with the powerful XSLT profiler in XMLSpy, a developer is required to have expert-level XSLT skills to test and fix the bottlenecks that the XSLT profiler identifies. Is the problem in an XPath expression? Is it an XSLT instruction? This can be a frustrating and time consuming task.

To help alleviate this issue and bring the power of XSLT to developers of all skill levels, XMLSpy also includes the XSL Speed Optimizer, which provides fixes to remove bottlenecks automatically, to immediately speed up your XSLT execution – it’s a revolutionary approach to optimizing XSLT performance.

Learn about XSL Speed Optimizer

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The Only JSON Dev Tool You’ll Need


While XMLSpy might not be the first tool developers think of when they’ve got a JSON development task, XMLSpy includes comprehensive support for working with JSON, JSON Schema, and related technologies.

Over the past few product releases, we’ve added intelligent functionality for editing and converting JSON and JSON5 data to the product. 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. And, most recently, we’ve added support for processing JSON with XSLT,  XPath, and XQuery.

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.

Developer using JSON tool

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Automate Diff Report Generation


DiffDog Server makes it easy to automate high-volume comparisons and generate diff reports comparing files, directories, and URLs. This high-performance server software is available for Windows, Linux, and MacOS X machines.

Developers have long relied on DiffDog for comparing XML, text, and binary files, as well as directories and URLs. Now, the power of DiffDog is available in lightning-fast server software for easily automating large comparison tasks.

For instance, DiffDog Server is perfect to automate diff report generation for critical files and directories at a given time – every day, once a week, etc.

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Querying Databases with MobileTogether


Databases power nearly every mobile app on the market. MobileTogether Designer allows developers to quickly and easily connect to any database and retrieve information to be displayed back to users. The video tutorial below walks you through creating your first database-powered mobile app.

If you are new to MobileTogether Designer please be sure to check out our getting started video. This video aims to get developers up to speed with the Designer’s interface, common phraseology, and steps through creating a basic app.

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Run Altova Server Software on Azure Cloud


The Altova Server Platform is comprised of the complete family of Altova’s high performance server software for automating data processing and data integration workflows. These cross-platform server software products allow for flexible installation either on premises or in any private or public cloud infrastructure.

For customers utilizing the Microsoft Azure cloud, we’ve created a convenient, free VM template with the Altova Server Platform pre-installed for easy deployment, available on the Azure Marketplace.

Altova Server Platform

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