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HL7 Data Integration


By now, you may be aware of the global push that is being made for data transparency – both in the realm of financial reporting* with a recent XBRL mandate in the U.S., and electronic health records – and that these efforts are focused on the creation and maintenance of XML standards. Of course most of you are among the XML savvy and can feel free to please join me in a resounding “duh” to the rest of the world that is only now beginning to realize the value of XML data in reducing errors, lowering costs, and generally increasing the overall efficiency of data management. But for now, let’s focus a bit on healthcare data and standards. Both HL7 and the HIPAA mandated X12N formats healthcare data exchange have traditionally been EDI-based, but the newest version of HL7 (version 3.x), released in 2005 is XML-based and constrained by a formal framework (HDF) that allows for an evolving data model within a carefully defined development methodology. Yes people, standards – bring it on!! Well, of course there is a need to map this data from the HL7 EDI to HL7 XML, to and from backend systems, to Web services and beyond. So what now? Do you need to become an expert in all of these formats? Weren’t standards supposed to make things EASIER? Please ladies and gentleman, return to your seats! Let me draw your attention once again to MapForce, the coolest data integration tool on the market, with support for mapping and converting data to and from XML, databases, flat files, EDI (including HL7, X12, and EDIFACT), Excel 2007, and Web services. HL7 mapping in MapForce The shot above shows a simple graphical mapping updating an HL7 v2.6 message to v3.x. Altova MapForce is an any-to-any visual data mapping tool that supports mapping HL7 data, in its legacy EDI or newer XML-based format, to and from XML, databases, flat files, other EDI formats, and Web services. Mappings are implemented by simply importing the necessary data structures (MapForce ships with configuration files for the latest EDI standards and offers the full set of past and present HL7 standards as a free download) and dragging lines to connect nodes. A built-in function library lets you add advanced data filters and functions to further manipulate the output data. MapForce can also facilitate the automation of your HL7 transaction workflow through code generation in Java, C#, or C++ and an accessible command line interface. Additional support for mapping HL7 data to and from Web services gives healthcare organizations the ability to meet new technology challenges and changing enterprise infrastructures as they unfold within internal and external provider domains. Read more on our new HL7 tools page in the Altova Solutions Center.   *The Altova MissionKit has been infused with XBRL support to meet financial reporting mandates.

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New MapForce Online Training – Code Generation


I’m pleased to announce that the next module in the Altova Online Training Series on the MapForce data mapping tool is now available. MapForce Code Generation is an advanced-level course that provides step-by-step tutorials for generating program code (including C# , C++, Java, XSLT, and XQuery) based on graphically defined data mappings and integrating that code into your own applications (royalty-free). Detailed tutorials also walk you through how to add custom XSLT and XQuery functions, add function libraries, and process mappings with multiple files.The MapForce Code Generation module is available on-demand, so you can learn when your schedule allows, and, like all Altova Online Training courses, there is no fee or registration required. Please let us know what you think of MapForce Code Generation – comments and suggestions are appreciated.

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Next Altova Online Training Module is Available


We recently blogged about the return of free Altova Online Training, with its new, more convenient, on-demand format. The first module available was Introduction to MapForce, and we’re pleased to announce that the next module in the series is now available. MapForce Data Sources and Targets is aimed at the intermediate MapForce user and provides students with step-by-step tutorials for mapping XML, databases, CSV, EDI, text, and Excel 2007 files in the data mapping tool. Detailed tutorials also walk you through how to process and map legacy text files using MapForce FlexText. This module also covers the methods of mapping and allows you to practice each method, including source-driven, target-driven, and copy-all mapping. DataSourcesTargets MapForce Data Sources and Targets is in BETA status, and we hope you’ll give us your feedback and suggestions so that we can continue to improve. Please respond either using the survey included in the class or by leaving a comment on this blog.

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New demo video: Mapping Excel 2007 / OOXML


We’ve just put the finishing touches on the latest Altova product demo video. This new module demonstrates the recently added support for mapping Excel 2007 data in MapForce.The video walks you through two data mapping scenarios, one where Excel 2007 data is filtered and then mapped into a relational database, and another where XML data is converted to Excel 2007. Other supported data formats for mapping are EDI, flat files, and even Web services. Please check out the video and let us know what you think! You can also try this new functionality for yourself with a free, fully functional 30-day trial of MapForce. MapForce Excel 2007 mapping

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Case Study: Wrycan, Fitz & Floyd, MarketLive


wrycan Fitz and Floyd is a leader in design and manufacture of hand painted ceramic gift ware. In 2007, they approached Wrycan, an Altova partner focused on content-centric XML expertise and related software development, for help creating a solution that would allow Fitz and Floyd to interface their existing CRM system to their new Web-based storefront application from MarketLive, the leader in e-commerce software solutions. Fitz and Floyd had already purchased a license for the Altova MissionKit software suite, so Wrycan was able to jump right in and start mapping data from Fitz and Floyd’s Oracle database to MarketLive’s proprietary schema using Altova MapForce. Wrycan assigned the project to a Principal Consultant, who had plenty of previous experience with XML technologies (including XSLT and XML Schema) as well as with large-scale databases, but who had never before used MapForce, Altova’s data conversion, transformation, and integration tool.

The Challenge

Fitz and Floyd required a solution that would automatically synchronize data from their Oracle database to MarketLive’s storefront application. It needed to perform the following functions: inventory updates, product updates, and order status updates. This way, when a customer ordered a Fitz and Floyd product via the MarketLive interface, they would be getting real-time information about the company’s inventory. The solution needed to be simple to use, easy to maintain, cost effective, and completed on time, so they could put their new storefront into production promptly. Fitz and Floyd’s existing data was housed in an Oracle 8.0.5 database and was organized according to internal requirements. In order to transform their data into a format that would work with MarketLive’s storefront application, Fitz and Floyd’s data needed to be mapped to MarketLive’s XML Schema. In addition, there needed to be a system in place to track and log any transaction errors that occurred.

The Solution

Because of MapForce’s ease-of-use, the Principal Consultant was able to get started using its intuitive features right away. Wrycan used MapForce to map the transformation from Fitz and Floyd’s Oracle database to the XML Schema definition (XSD) instance provided by MarketLive. Using the database as the source component and the XSD as the target, the following mapping was produced: MapForce mapping transparent In order to map to some XML Schema entities that were not explicitly defined in the original MarketLive schema, Wrycan used Altova XMLSpy’s graphical XML Schema editor to fill in the gaps, adding attributes to the schema that had not previously existed and thus ensuring that all necessary Fitz and Floyd data would be mapped to the MarketLive Web interface. An example of the schema modifications is shown below: XML Schema modifications Wrycan used MapForce’s unique code generation capabilities to automatically produce a Java applet that was used to update Fitz and Floyd’s product, inventory, shipping, and order status information programmatically. This specialized applet was then packaged along with Wrycan’s proprietary Transaction Manager. MapForce made it very easy to update and redeploy the data mapping requirements as they changed throughout the project. Because of MapForce’s ease of use and built-in code-generation capabilities, less technical users can also update the data mapping when there are changes.

Simple Web-based Transaction Manager

Utilizing open source Java technologies such as Apache Tomcat and Quartz Enterprise Job Scheduler, Wrycan was able to create a simple transaction manager that allowed the transactions handled by the MapForce-generated, Java-based data integration applet to be scheduled, processed, and logged. The Transaction Manager is a custom software application made specifically for Fitz and Floyd by Wrycan, but built in such a way that it can be reused for future clients. It consists of several components:

  • User interface – allows the integration of MapForce-generated Java code
  • FTP interface – adds the ability for files to be downloaded for transformation from Oracle database format to the eCommerce platform XML format or vice versa
  • Scheduler – allows the automation of the data migration
  • Reporter – stores transaction results in XML files accessible in the user interface and also has the ability send emails in case of exceptions

The Transaction Manager’s user interface is the point of contact for Fitz and Floyd to control and schedule any data transformations. Because Wrycan wanted to be able to reuse the Transaction Manager, they chose to generate the MapForce code in Java, a platform-independent programming language. (MapForce can also generate application source code in C# and C++.) This code is an integral part of the Transaction Manager, as it dictates the data mapping process, allowing Fitz and Floyd’s internal information to be accessed via the MarketLive interface. The FTP interface is a simple way to manage the transfer and delivery of files from within the Transaction Manager once the MapForce-generated Java applet has transformed the data according to the MarketLive schema. A built-in batch scheduler allows Fitz and Floyd to automate the data migration operations by content type (i.e. order, inventory, product, etc.). Batch jobs The reporting component allows the result of each transaction to be logged in XML. Because of this, if any transaction errors occurred, Wrycan was able to use Altova XMLSpy to analyze and debug the issues.

The Results

Fitz and Floyd now has an easy to use data integration layer that is extensible by adding new MapForce transformations, and they can easily adjust their current transactions. Any updates made to the Fitz and Floyd Oracle database are automatically transferred to the MarketLive application in a format that it can readily understand. Log Details Because the Transaction Manager application is based on platform-independent Java code (generated by MapForce), Wrycan also has a reusable application that can be used as an asset by any online retail company. Wrycan is now able to approach potential clients with a proven data integration layer product that provides job scheduling, email notification, and FTP integration and can utilize any database or schema output via a custom Altova MapForce transformation. When speaking about this project, Dan Ochs, the principal consultant at Wrycan involved with the Fitz and Floyd application stated “MapForce has proven to be an easy-to-use, effective tool for making the data integration and mapping process much easier and faster to implement.” This and many other customer case studies involving Altova solutions are available in the Altova library.

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