Users can see where any data element ultimately came from and what things influence its value. The other HUGE benefit of mapping this way is that we now have discrete design lineage information that can be published to a metadata wiki. We then supplement this information in the wiki with things like flow diagrams where needed. Viola: ETL specifications directly from the modeling tool. We publish this information using PDРІР‚в„ўs reporting facility, including images of the models, metadata about the tables, and the mapping themselves. The goal here is to communicate consistently and clearly to the ETL development team how data it to move between systems. And we add information about job scheduling if needed. In addition, we add validation rules or other business rules, including the action on failure. With some guidance, you can craft a data platform that is right for your organizationРІР‚в„ўs needs and gets the most return from your data capital. From these limited items, PD will create source SELECT statements that could be used directly to source the data (although anything complex will quickly go beyond this basic capability). Attributes of the mappings can include anything (through the customization magic of extended model definitions) and out-of-the-box have a place for selection criteria (source filter conditions), column mapping expressions, and comments everywhere. Once itРІР‚в„ўs there, just drag and drop between source tables or columns and the targets. To create a mapping in PowerDesigner you need a source model (generally we reverse engineer the source database into a dedicated model) to add to the mapping editor. Since we generally try to create one ETL package per target table, this creates a natural relationship between the ETL design and implementation. For physical models (where we do our mapping, although you could do it at the conceptual or logical level), mappings are defined at the table and column levels. PowerDesigner includes direct support for data mapping in the base product (Tools->Mapping Editor). РІР‚СљWhat does a green background mean again?РІР‚СњР”В«ringing the mapping process into the data modeling tool alleviates all these (albeit with a few gotchas) by providing a controlled environment that includes the critical dependencies (the models!). Lack of consistency in collecting and documenting mappings (Excel, IРІР‚в„ўm looking at you!).

Poor (or РІР‚СљlooseРІР‚Сњ) communication between those mapping and the development team.Ongoing model changes РІР‚вЂњ the target moves!.Data mapping (source to target) can be a complex and cumbersome process due to: WeРІР‚в„ўre constantly looking for ways to streamline the BI development process.

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