The purpose of metadata modeling is to present a user-friendly representation of the data that is available to your query audience while adding business value where required.
The metadata modeler’s job is to ensure consistent and expected results for users who create or consume content in IBM® Cognos® Analytics.
This document discusses how to effectively leverage the modeling concepts supported by IBM Cognos Analytics, and ensure accurate and performant query results.
This document doesn’t cover step-by-step instructions. Where appropriate, links to the related component documentation are provided.
This document spans multiple IBM Cognos Analytics metadata modeling tools that might each use slightly different terminology for objects.
For example, in Framework Manager query objects are called data source query subjects, and model query subjects. In data modules, parallel objects are called tables, table views, table copies, table unions, and so on. In general, all of these objects represent a table or view from a data source, and the columns within. For the purposes of this document, the terms tables and columns are used.