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Every nontrivial application works with some data It may be businessrelated information such as customer name, employee hours worked, or invoice amount The application may need values supplied from another system, such as stock quotes or currency exchange rates Some type of temporary data, such as object state information or intermediate calculations, may be required The application may need con guration-related information, such as the last four les the user accessed or the last userselected window locations Regardless of the type of information, the data needs to be designed in a logical manner so that it can be manipulated easily and ef ciently The application may add new data, review or edit existing data, or present the data in reports A good data design makes accessing the data easier Visual Studio is a very powerful database application development tool You can connect to most data stores, retrieve desired information, and then display it, modify it, and store it With that power comes more choices: more options for data stores, more options for accessing the data stores, more options for mapping your objects to that data, and more options for passing that data between the layers of your application The purpose of the data design ( D ) phase of the GUIDS Methodology is to help you logically organize the application data and to design how the application retrieves and works with that data The D phase is composed of the following steps:
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2 DESIGNING SOFTWARE
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De ne how to store the data De ne how the data access layer accesses that data De ne how the layers of the application provide that data to the other layers
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The remainder of this section details these steps When these steps are complete, you will have a better understanding of how the application (or unit of work) stores and manages the data it requires The result of the D phase is the design of the data stores and the speci cation of how the data is accessed and passed throughout the application The data design can be speci ed as a data document, as a data model, or both The data access strategies can be included in the implementation
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design document Documenting the design ensures that the data and data access mechanisms are well-de ned for you and for anyone else working on the application, now and in the future
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Defining the Data Storage Mechanisms
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Most business applications and many other types of applications store at least some of their data in a database, such as Microsoft Access, Microsoft SQL Server, or Oracle Other data is stored in a le or other structure Consider the data required by your application and where that data resides Some of the most common data storage mechanisms are
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Database XML data le Non-XML data le Con guration les
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NOTE: Although historically the registry has been a common location for storing configuration information, it has fallen out of favor Use a configuration file instead One of the reasons for this shift is simplification of deployment
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Your application may use any combination of these data storage mechanisms A complete discussion of designing data as appropriate for each selected data storage mechanism is beyond the scope of this book But because a database is the most common data storage technique, this section includes some tips for designing a database See 4 for a discussion of con guration les and how to access them in your application
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Database design comes with its own set of terminology This section provides an overview of key database terms A relational database management system (RDBMS) arranges data based on its relationship to other data in the database It divides the data into logical homogeneous units called tables A table is a logical grouping of related data elements that are stored in a row-and-column format, similar to a spreadsheet In most cases, each business object de ned
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