Thursday, March 5, 2009

What's New in MapForce 2009?

It feels like we’ve been writing about XBRL and HL7 for months...  Let's move away from that topic for the moment and talk about additional essential new functionality added to MapForce in the v2009 release. Granted, some of these features have been added as a necessity for mapping to/from multi-dimensional XBRL data, but they also transcend well beyond interactive financial data reporting to the other aspects of mapping XML, database, flat file, EDI, Excel 2007, and Web services data in MapForce.

Custom Functions for Data Mapping

MapForce functions add a custom data processing layer to your mappings, letting you reformat output structure and even manipulate content on-the-fly. With v2009 we have added a grouping, distinct-values, and a predicated position function to the already well-shelved MapForce function library.

Grouping functions can be selected for code generation in XSLT 2.0, Java, C#, and C++ and let you effectively reorganize source data into based on common values:

  • group-by - reorganizes data in the output document based on a specified common value, or grouping key
  • group-adjacent - applies grouping to an alternating sequence of items, assigning items that have a common value to the same group
  • group-starts-with - begins a new group based on a specified pattern and puts all subsequent items into the same group until another item matching that pattern is found
  • group-ends-with - ends a new group based on a specified pattern and puts all subsequent items into the same group until another item matching that pattern is found

The distinct-values function is a data filtering operation that, simply put, automatically ignores duplicate input values when writing mapping output results.

MapForce distinct-values function

MapForce also now includes a predicated position function that lets you filter out data based on its context position in the input document. For example, the mapping below will return data for only the first two people listed in the source document.

MapForce position function

 

Extended Database Support

For users creating database mappings, MapForce 2009 provides new native support for additional databases: Microsoft SQL Server 2008, Oracle 11g, and PostgreSQL 8. It also now supports mapping XML fields in SQL Server. The complete list of natively supported databases is:

  • Microsoft® SQL Server® 2000, 2005, 2008
  • IBM DB2® 8, 9
  • IBM DB2 for iSeries® v5.4
  • IBM DB2 for zSeries® 8, 9
  • Oracle® 9i, 10g, 11g
  • Sybase® 12
  • MySQL® 4, 5
  • PostgreSQL 8
  • Microsoft Access™ 2003, 2007

Data Mapping Documentation

The ability to generate data mapping documentation makes it much easier to collaborate on large data integration projects, which often include a variety of designers, developers, subject matter experts, and stakeholders.

Generate mapping documentation

 

Find Dialog for Identifying Nodes

And now for a personal favorite: a new find feature. Yes, this may sound very simple and mundane – unless you have had the pleasure of mapping large and complex multi-layered data components like XBRL and EDI (there we go again!). Consider, for example, digging through an HL7 ADT A05 transaction to find the second CWE identifier field under the fifteenth PR1 segment.

Find dialog

Ahhh… much easier!!

Take a look at the full list of new features in MapForce v2009 – and, as always, keep in mind that Altova adds new functionality to all of the MissionKit tools based on user requests… so keep ‘em coming!

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