Enhanced compiled representation of transformation formats

Abstract

Enhanced compiled representation of transformation formats to enable rapid application development and deployment is described. Techniques for partitioning data in a transformation include populating a table with a functoid associated with a functoid tree root, traversing the table and generating a page object corresponding to a page number found in the functoid, and instantiating the functoid in the page objects. A system for partitioning data in a transformation is also described, including a memory configured to store a table with a functoid associated with a functoid tree root, and a processor configured to traverse the table and generate a page object corresponding to a page number found in the functoid, and instantiate the functoid in the page object corresponding to the page number.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS [0001] This application is a continuation of U.S. application Ser. No. 10 / 934,247, filed on Sep. 2, 2004, which is hereby incorporated by reference in its entirety for all purposes as if fully set forth herein.FIELD OF THE INVENTION [0002] The present invention relates generally to software. More specifically, enhanced compiled representation of transformation formats. BACKGROUND OF THE INVENTION [0003] Developing and deploying enterprise software applications for various purposes may be problematic in terms of integration and scalability. In order to implement applications from multiple vendors, integration and architectural issues arise, such as whether to use a single or multiple sources of data to support the disparate applications. Industry standards recommendations such as those endorsed by the World Wide Web Consortium (W3C) were developed for the purpose of addressing these types of issues. By using a standard data format (e.g., XML), ...

AI Technical Summary

Problems solved by technology

Developing and deploying enterprise software applications for various purposes may be problematic in terms of integration and scalability.

In order to implement applications from multiple vendors, integration and architectural issues arise, such as whether to use a single or multiple sources of data to support the disparate applications.

However, common data formats such as XML still pose significant difficulties between applications.

Transformations between applications requires substantial time, effort, and skill to transform XML-formatted data.

However, conventional techniques for performing transformations are also problematic.

Performing manual transformations does not scale well for applications.

Transformations are dependent upon the skills of a developer and may be error-prone.

Although industry standards recommendations such as XML and XSLT exist, these and other conventional techniques are also problematic when used to migrate data between applications.

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