Altova MapForce Professional Edition is a graphical data mapping tool for transforming between XML, database, and flat file formats. This award-winning visual data mapper converts data instantly or autogenerates royalty-free XSLT, XQuery, Java, C++, or C# code for execution of recurrent conversions. Numerous functions come standard (filter, concatenate, sum, etc.), and you can create and save your own functions or use existing Web services to process data. The MapForce Debugger lets you single step through a mapping and see the data flow step by step from sources to target nodes. Direct file read and write gives MapForce a performance boost by streaming arbitrarily large XML, CSV, and FLF input and output files. Support for wildcard characters allows you to split data into multiple files and even use file names as parameters in your mappings. Once a mapping is defined, you can instantly view and save the output. You can also automate data transformations through the API or ActiveX control, or upload mappings to FlowForce Server for workflow automation. MapForce supports all major databases, including Microsoft SQL Server, PostgreSQL, Oracle, MySQL, IBM DB2, Informix, Sybase, Microsoft Access, SQLite, and Firebird. Tight integration with Altova StyleVision means that you can render your transformation output in attractive HTML, RTF, Word, or PDF reports. MapForce Professional Edition also integrates with Microsoft Visual Studio and Eclipse, so you can use its advanced functionality from within these leading IDEs. It is an indispensable tool for information architects, database administrators, application developers, and systems integrators working to programmatically integrate data in a cost-effective, standards-based way. MapForce is available in 32-bit and 64-bit versions. Download a free trial of Altova MapForce Professional Edition today at www.altova.com.
Keywords: XML mapper, generate XSLT, generate XQuery, Data Mapping, data mapping debugger, Data Transformation, data converter, data mapper, data conversion, data integration
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