Products - Type Tree Editor Graphical Interface Simplifies Design First, both the source and destination data formats are defined in a graphical form called a Type Tree and stored in the DataStage TX Object Repository. Objects can be added to the Repository in a number of ways: DataStage TX provides a variety of "Importers" that automatically create data definitions for standard data types. Among the supported data formats are SAP R/3 formats (IDocs) and Cobol Copybooks. Pre-built objects are available from AIC for standard formats such as HL7, X12 EDI, and EDIFACT. DataStage TX's Database Editor establishes a session with any ODBC-compliant relational or native Oracle database and automatically imports meta definitions from the database catalogs. Objects can be defined by the user through the graphical facilities of the DataStage TX Type Editor. The DataStage TX Windows interface simplifies creation of complete and precise definitions. Information and objects can be located quickly, and extensive on-line Help provides immediate response to questions. The user has access to a full set of graphical tools to aid navigation and minimize keying, This includes pull-down menus, scroll lists, and keyboard shortcuts, in addition to standard Windows facilities for drag & drop and Copy, Cut, and Paste. Data objects are defined using the Type Editor and are displayed graphically in a colorful "tree structure" form. Maps are created using the Map Editor, with all data sources and destinations presented in convenient "from" and "to" windows. By simply choosing the appropriate version and release, the user has immediate access to EDI, HL/7, EDIFACT, XML, and ASTM transaction sets and messages in graphical form. The standards can also be easily customized to reflect the implementation choices typically required.                 Embedded Rules Add Flexibility The ability to embed rules in data objects is a unique product feature. Embedded rules provide the extended power that differentiates DataStage TX from all other mapping tools. Rules help assure complete, unambiguous definitions. In addition, they provide a built-in mechanism to validate an object's integrity every time it is used. Rules are added using logical statements familiar to anyone who uses a spreadsheet. They are easy to learn and have a consistent syntax. They can be combined and nested up to any level. They are also supported by a rich set of pre-defined functions for commonly used operations such as table look-ups, counting, character string parsing, and data extraction.   Previous Next All rights reserved. Copyright © 2006. Application Interfacing Corporation. Legal Notices and Privacy Statements