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In order to enable the much needed agility demanded by today's marketplace, business functions and associated processes must be supported by semantically accurate and reusable information, i.e. data and its associated metadata. A data model is an abstract model that describes how data is represented and accessed. Data modeling is the process of creating a data model instance by applying a data model theory, typically to solve some business enterprise requirement. Data model instances can be categorized into various levels or perspectives, including contextual data models which identify entity classes, conceptual data models which define the meaning of things in the organization, logical data models which describe the logical representation of properties without regard to particular data manipulation technology, physical data models which describe the physical means by which data are stored, data definitions which represent the coding language of the schema on the specific development platform, and data instantiations which hold the values of the properties applied to the data in a schema. In this short talk, we'll take a look at examples of each of these kinds of data models and explore how they are supported by projects/components at Eclipse.