What is data verification?

data validation is a process of controlling the program or database to ensure that the information is standard and clean. There are different standards based on the programming language used or the type of information collected and stored in the database. The process can be simple or very complex. A number of tests can be used to ensure verification. If the data is not regularly verified, this can lead to security problems, as hackers will have less problems with sneaking into unorganized and non -standard coding.

There is no universal standard for data verification; Rather, the standard depends on what information is verified. For example, some programming languages ​​allow you to use the underline brands instead of a few words, while other programming languages ​​do not allow brand underline. These types of differences mean that all data verification must be specific to the data; Otherwise, it can cause problems and irregularities with data standards.

perforated data Ming may beDnodes or complex. A simple verification procedure would be to check the database of telephone numbers and ensure that the letters and non-standard symbols are not included-the percentage symbol or dollar mark is. More comprehensive verification procedures Check to ensure that programs refer to the correct files and that there is no damaged code in the program.

To ensure data verification, there are many tests that can be used, most of which are processed by a validation program. For example, the consistency check ensures that all records are consistent; If the record is to have a name followed by a phone number, then checking the consistency ensures that all records follow this order. Inspection of the limit and scope will inspect the numbers in the program or database and ensure that the numbers are not too high or outside the range. For databases and programs that have not have redundant data, check uniqueSTI ensures that each record is unique.

In addition to working better and ensuring standard encoding or inputs, data verification also helps protect against hackers. If the data is disorganized or non -standard, it has a high potential to be damaged and work poorly. This means that the hacker can slip into the system easier than if all the data were valid. For example, when the code is copied, it will be prone to changes; This means that the hacker can infiltrate the system and change the coding to open holes or steal information without being easily detected.