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Building, maintaining, and tuning

2014-2-19 22:47| view publisher: amanda| views: 1003| wiki(57883.com) 0 : 0

description: After designing a database for an application, the next stage is building the database. Typically an appropriate general-purpose DBMS can be selected to be utilized for this purpose. A DBMS provides t ...
After designing a database for an application, the next stage is building the database. Typically an appropriate general-purpose DBMS can be selected to be utilized for this purpose. A DBMS provides the needed user interfaces to be utilized by database administrators to define the needed application's data structures within the DBMS's respective data model. Other user interfaces are used to select needed DBMS parameters (like security related, storage allocation parameters, etc.).
When the database is ready (all its data structures and other needed components are defined) it is typically populated with initial application's data (database initialization, which is typically a distinct project; in many cases using specialized DBMS interfaces that support bulk insertion) before making it operational. In some cases the database becomes operational while empty of application data, and data is accumulated during its operation.
After the database is created, initialised and populated it needs to be maintained. Various database parameters may need changing and the database may need to be tuned (tuning) for better performance; application's data structures may be changed or added, new related application programs may be written to add to the application's functionality, etc. Databases are often confused with spreadsheets such as Microsoft Excel (Microsoft Access is a database management system, Excel is a spreadsheet program). Both can be used to store information, however a database is more efficient and flexible at storing large amounts of data. Below is a simple comparison of spreadsheets and databases.

preadsheet strengthsSpreadsheet Weaknesses
Very simple data storageData integrity problems, including inaccurate, inconsistent and out of date data and formulas.
Relatively easy to useDifficult to validate data e.g. an incorrect formula
Require less planning
Database strengthsDatabase Weaknesses
Methods for keeping data up to date and consistentRequire more planning and designing
Data is of higher quality than data stored in spreadsheetsHarder to change structure once database is built
Good for storing and organizing information.

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