Can you think of ways to validate the information from SQL queries or reports, to assure a level of accuracy in the results?
Can you think of ways to validate the information from SQL queries or reports, to assure a level of accuracy in the results?
Can you think of ways to validate the information from SQL queries or reports, to assure a level of accuracy in the results?
Can you think of ways to validate the information from SQL queries or reports, to assure a level of accuracy in the results? When, if at all, is it better to extract raw data instead of summary information and what are the best ways to present any retrieved information (e.g., tables, diagrams, narrative)?
Database management is frequently approached in a variety of ways. One approach commonly used in database management to ensure the accuracy of data is information validation. Validation simply means that the data element is formatted correctly. Validation says nothing about the accuracy of the data.
As a result, validation is a syntax versus semantics approach. Screenshots and similar documents are always used when validating computer applications and systems such as databases (Guagliardo & Libkin, 2017). In most cases, the supporting data is entered into the database, and it can effectively open, implying that the data can be separated using SQL queries.
One method of validating the information from SQL queries and reports is to perform referential integrity. In other words, referential integrity is a critical component of data integrity. The two major tables, the data table and the lookup table, are always associated with referential integrity (Wei et al., 2019). Referential integrity is frequently used in database management when data is deleted, inserted, or updated within the database. Updates and inserts frequently improve data accuracy and integrity.
The database manager can avoid entering data in the foreign key column that is not listed in the lookup table by using referential integrity.
Another method of validating information from SQL queries or reports is to adhere to the validation rule property (Ghawi, 2019). The validation rule property allows database designers to define validation rules that require data entered into the database to adhere to a set of rules. The validation rule property allows database administrators to ensure the accuracy and validity of data entered into the database.
When performing evaluations that may be required by the organization, database managers can extract raw data. The use of a diagram is the best way to present the retrieved data. Flow diagrams are ideal for visually representing data. The self-explanatory diagrams are best for making decisions.
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