You can consolidate multiple physical data sources into a logical data object model. A logical data object model contains logical data objects and mappings. You can create and run a column profile on the logical data object to find the data quality of the data sources.
A logical view of data is a representation of data that exists in an enterprise. The data in an enterprise might reside in multiple disparate source systems, such as relational databases and flat files. You can create a logical data object model to represent the data from the perspective of the business regardless of the source systems.
The logical view of data includes the following components:
Logical data object model. A logical data object model describes the structure and use of data in an enterprise. You can create a logical data object model or use an existing model to create a logical data object model. You can use the logical data object model to study data, describe data attributes, and define the relationships among attributes.
Logical data object. An object in a logical data object model that describes a logical entity in an enterprise.
Logical data object mapping. A mapping that links a logical data object to one or more physical data objects. It can include transformation logic.
You can create and run a column profile on the logical data object to find the following type of information:
Content of the data source that includes value frequencies and data types.
Quality of the data source which includes unique values, null values, and data patterns.
Structure of the data sources which includes keys and functional dependencies.
Data domains in the data source which identify critical data characteristics within an enterprise.
The following sections explain how to create a logical data object model, logical data object, Joiner transformation, and to create and run a column profile on the logical data object.