Database design is the structured arrangement of data based on a logical database structure. The database designer first determines how the various data components interrelate and what information should be kept in the database. From there, they are able to match the new data to the correct database table or database system. This is critical for a business and computer analyst. Without this knowledge, the business and computer analysts cannot create a database system which can effectively handle business requirements and current business trends.
Some of the factors that go into designing a good database system might include how many users will be in the database and whether the system will have a centralized control. The design process will also take into account how user roles and permissions will interact with each other. This is an important factor which affects the accessibility of database tables and how they are used. Access permissions are typically set by the users and these need to be managed accordingly. Having the appropriate permissions will also ensure that only authorized users have the ability to make changes to the various tables in the system.
Designing a database which is able to support a large number of users and their permissions will ensure that all queries are directed to one place. A good example of a system which has this functionality is a supplier directory. This is a system which contains a table that contains information about each company the supplier deals with. It also contains a number of columns which contain customer and supplier details.
When developing a database, the next step involves creating a system which represents each entity. In the previous example, the supplier information would be represented by a table that contained customer details; however, the system may represent many-to-many relationships between entities. This is commonly done in the manufacturing and distribution industries where many entities deal with similar products.
The third step is normally called normalization. This involves validating that the database will remain manageable after changes have been made. Database normalization ensures that the smallest useful database structure is retained which still makes it easy to update the database. There are many different database normalization rules which can be implemented depending on the size of the database, the frequency with which updates are made and the number of entities stored.
The design process also involves the generation of a user interface which enables database users to access all the information items stored in the database. Database designers use tables, column family values and other information items to form the user interface. The challenge lies in the fact that tables and other types of entity related information items tend to change over time and so it is not always possible to create a stable user interface at the beginning of the design process. As the design progresses, this becomes less of an issue as the tables and other entity related information items tend to fit naturally into each other and form a stable interface.
Database normalization also involves validating that the entities created in the database can be used in a logical manner. A logical approach means that the logical entity should be able to inter-relate with all the other entities in the database and that it should also be able to access other entity related data. The logical rules ensure that the business data can be accessed by the user without having to know anything about the innards of the database itself. Database normalization thus ensures that business data is accessed in a reliable manner by the business users and allows them to make decisions about how to best utilize the available resources.
Designing a database normally involves two stages; one is the planning stage where many decisions have to be made about the structure and the design of the database and the second is the implementation stage which consists of creating the database and running it smoothly. The planning stage is usually carried out on a continuous basis as it allows database developers to come up with solutions for issues that arise during the day-to-day operations of the business. Database normalization thus requires an in-depth knowledge of the application as well as of the logical schemas and designs that will allow the system to function smoothly. In addition, database normalization also requires thorough knowledge of the application structure as well as of the operational concepts of the business and the application users.