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There is one caveat to this process and that is that you may often find that the same column (perhaps ID) can exist in many places but can have different expanded logical names (Department Identifier in the Department table and Employee Identifier in the Employee table, perhaps).
#Ca erwin data modeler macros update
The glossary can be modified and the model will update accordingly. The nicest thing about the above outlined technique is that the final derived combined model is actively mapping based on the NSM glossary. Another frequent question is if the glossary can be refined, afterward, so that phrases can be replaced with individual word mappings. A user can use this technique even with foreign characters. I am often asked if this works with foreign languages or special characters. The RE can be against any supported database version (even ODBC) or a flat file containing the SQL statements to generate the objects. If you already have a combined Logical/Physical model, you can use the Tools | Split model to derive a PO model. You will need a Physical Model to start with and a spreadsheet with the documented attribute names.ฤก - Reverse engineer (RE) your database as a Physical Only (PO) model and save it. What follows is a step by step process of integrating your logical names and your physical model using CA ERwin Data Modeler. This often leads to the fact that there is a spreadsheet somewhere (there always is) that contains our documented logical attribute names and a data model that was reverse engineered from the database environment. Any process of documenting and standardizing our design requires working backward from the current status to a more generalized one. The reality is that we often have to begin with the current physical environment. However, we do not live in an ideal world. The modeling team has done their due diligence and compiled all the business requirements and a consensus of naming standards, notations, and process definitions have already been agreed upon. In an ideal world, the physical model is derived from a logical model.