Principle of Data Design
Wasserman has proposed a set of principle that might be used to specify and design data. In various principle for data specification are give below:
1. The systematic analysis principles applied to function and behaviour should also be applied to data. For data designing the data flow and content should be developed and reviewed, data object should be identified and alternative data organizations should be considered and effect of data modelling on design should be checked.
2. All data structures and the operations to be performed on each should be identified. To achieve this data structures are used which must take the operation to be performed on them.
3. A data dictionary should be established and used to define both data and program design. We have already discussed the concept of data dictionary inchapter5. A data dictionary represent the data objects their relationship with each other and constraints on the elements of a data structure.
4. Low level data design decisions should be deferred until late in the design process. The concept of stepwise refinement discussed earlier may be used here for design of data. Overall data organization may be defined during requirements analysis refined during preliminary design work and specified in detail during the detail design step. Top down approach can be used here.
5. The representation of data structure should be known only to those modules that must make direct use the data contained within the structure. It basically uses the concepts of information hiding to perform it
6. A library of useful data structures and the operation that may be applied to them should be developed. Data structures can be designed for reusability to use them in the future projects.
7. A software design and programming language should support the specification and realization of abstract data types.
There should exist some means for direct specification of the software so that the implementation of a data structure can be made.
The above described principle form a base for a data design approach structure of data design.
Structure of Data Design
In the structure data design there are basically three levels. So it can be called as the 3 level data design structure. The various levels are -The component level the application level and the business level.
At the component level, the data structure and algorithms are used for the development of high quality application. At the application level the data model is converted into the database to accomplish the business objectives. Finally at the business level data warehouse is generated in which al the information stored in database are reorganized. Data warehousing basically enables data mining or knowledge discovery that may have an affect on the success of the business.
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