Posts

Applying Data Mapping Patterns

David McGahey
/in /by

Altova MapForce includes powerful mapping components that correspond to design patterns for data transformation requirements. Analyzing a data mapping challenge up front and following a few straightforward guidelines can uncover data mapping patterns that help simplify creation of the mapping design and lead to an optimal solution. The MapForce Examples project provides sample mapping files and data sets that illustrate many common data mapping patterns. Reviewing these examples and executing them with the MapForce Built-in Execution Engine is another good way to help select the best pattern for your own project.

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Interactive Debugger for Data Integration Projects

David McGahey
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MapForce 2016 introduces a revolutionary data mapping debugger that lets developers working on data integration projects examine data mapping output step by step to diagnose and perfect projects of any complexity. The MapForce data mapping debugger gives users deep insight into the exact inner workings of data integration and ETL projects in a way that was never before possible.

The debugger works with all MapForce data mappings for any combination of XML, XBRL, JSON, databases, flat files, EDI, Excel, or Web services data, including chained mappings, mappings with multiple input or output components, and mappings that include user-defined functions.

Data Mapping Debugger

The MapForce data mapping debugger supports breakpoints and conditional breakpoints, and includes multiple manual stepping options to manually debug a data mapping or continue execution after a breakpoint is reached, allowing users to see as much detail as they need.
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Data Mapping Files with XML Mixed Content

David McGahey
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As more specialized data is adapted for delivery on demand to mobile devices with smaller screens, documents with complex structures can be a challenge. Fortunately, MapForce, Altova’s graphical data mapping, conversion, and integration tool, has special features to accelerate data integration projects of all sizes.

For example, richly-formatted documents may include XML mixed content, a complex datatype that permits an XML element to contain text, attributes, and other child elements. Common instances of XML mixed content include blocks of text with tags for bold or italic fonts, or tags that select terms for indexing or other special treatment. Documents with XML mixed content can be difficult to include in a data integration project, since they appear to be free-form and unpredictable, with child elements that occur in any order or even multiple times within the parent.

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XML Validation Speeds Reach New Levels

Erin Cavanaugh
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Let’s take a look at a few of the features recently added to the Altova MissionKit desktop developer tools and complete line of server software products, including screaming-fast XML validation speeds using RaptorXML Server inside XMLSpy,  frequently requested functionality for EDGAR filing validation, support for SQLite databases and the TRADACOMS EDI format, and much more. You can always learn about the latest and greatest new features on the Altova What’s New page.

 

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New Support for XPath/XQuery 3.1, WS-Security, and More Debut in R3

Erin Cavanaugh
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Release 3 of the Version 2015 Altova MissionKit desktop developer tools and Altova server software products is now available with updated standards support, customer requested features, and innovative new functionality that will save you time on everything from XPath and XQuery development, to advanced data mapping, to XBRL report rendering and beyond. You can skip right to the good stuff and upgrade now, or click Read More below for all the details.
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New Data Integration Whitepaper Now Available

David McGahey
/in /by

The data engulfing enterprises today comes from many seemingly unrelated sources. Collecting, refining, and assimilating all this information, and being flexible enough to accept new data formats and resources, is critical to success in the 24/7 connected world.

We are proud to announce a new whitepaper titled Data Challenges and the MapForce Platform for Data Integration that addresses these issues, now available for free download from the Altova Reference Library.

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This data integration whitepaper gives business executives, data analysts, data-focused developers and others an overview of current trends and issues in data integration, then discusses how Altova MapForce combines with Altova Server products to create a highly automated enterprise data integration platform that is configurable, scalable, and cost-effective.

To cover all the relevant, up-to-date information, the whitepaper even includes a section titled Data Integration for Mobile Devices that discusses how Altova MobileTogether easily integrates to bring data integration results to mobile devices, providing business intelligence dashboards, elegant enterprise forms, and much more in today’s cross-platform BYOD (bring your own device) workplaces.

Click here to download your copy today!

The MapForce Platfrom for Data Integration whitepaper

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Deploy Data Mappings and Report Designs for Automated Processing

David McGahey
/in , /by

Deploying data mappings created in MapForce and report designs created in StyleVision for automated processing by Altova server products is straightforward and quick.

The File menu in MapForce includes two options to optimize, preprocess, and deploy data mappings for MapForce Server and FlowForce Server. Preprocessing enables faster performance and reduced memory footprint for most data mappings.MapForce menu option to deploy to FlowForce Server Read more…

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