Accidental deletion of fields is a common error this can be prevented by putting a code on your database which prevents people from accessing this and allowing only certain people to view it. You may also make it so when on deleting the stuff in the database you need a code that people with the right to delete this are the only ones that have it so no data is falsely deleted.
This problem happens when an unmatched data type is used. Such as, if a database is used to keep record of the number of stock a business owns, it will go wrong but instead of putting a numerical value the clerk inputs a text value i.e. one instead of 1 etc. To stop this happening the database can be programmed to tell the user with an error code message, like the red stars like on online e-mail forms where you’ve used the wrong characters for a password.
A null value equals nothing there and is a blank space on a data sheet. This is a problem as the database will not be able to work properly as it doesn’t understand the commands. It will often have the true false or null option if the database hasn’t been set to understand the option of a null. It won’t work, like registering for an account or something and missing out parts of information it needs on the form sheet.
Re-naming something or that wrong on a database can be a bad mistake, some cases worse though such as in the case of a bank as big as Barclay’s. This is usually a human error. If the glitch is spotted it won’t fix on its own so to avoid this sort of problem you’ll have to double check the information you’ve been given. This is why people who work in administration often repeat your information back to you, your name and how it’s spelt and so on.
Validation in computers is similar to when real people verify it’s the process of checking the data. When a user inputs information into a database it’s more than often that they will type in something that doesn’t quite make sense of match. It would therefore be the job of the computer to make sure the information is correct and make sure that it’s correct. Then, it becomes the persons turn to verify that data. Social networks like Face book have checks which wards off possible users if they are under the age of 18.
Again all points covered D1 achieved
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