Style Intelligence provides a built-in module, called the Data Modeler, for connecting to data sources, designing queries, and defining semantic layers (logical models). Traditional query builders support only relational databases, but the Data Modeler supports multiple data source types, including XML, JDBC, EJB, text, and dozens more.
Queries are stored independent of reports in a separate XML file. Queries and data models each have their own advantages, and often complement each other. However, a data model often provides the easiest way to expose business data contained in relational databases, and offers maximum flexibility for end-user self-service.
This section walks you through the basics of defining a data source and creating a data model. For more detailed information on these topics, please refer to the Data Modeler Guide.
Prior to building queries or data models, you must define the data source from which data should be retrieved. The following example illustrates the steps to define a JDBC (Java Database Connectivity) data source. To connect to other types of databases, please refer to Configuring Data Source and Query Registries in the Data Modeler Guide.
Note that the data source ‘Orders’ used in later examples is predefined in the default installation, so we cannot define it here. However, the data source that we define in this example, ‘SampleOrders’, will illustrate the process.
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