We will be using the example of a mortgage calculation application because this, and other directly or indirectly related types of application such ass long term rental places, banks, realestate related businesses will love the fact that the data must be accurate for the reasons mentionned above and aq couple more that we'll see later in this document. The first thing will see is the different types of data validation that can be performed and describing them.Many times people just don't bother implementation data validation at all while they are creating their application and this usually results in very bad things happening that really could have been avoided with proper data validation.But making sure that these are implemented in the development process rather than after the program is done will help minimize the burdon of integrating data validation in your application. Essentially everything depends on the reason why you'd want to do data validation, it's degree of importance (as far as the data available to the application) and the actually type of the data as well. Let's say you're making a mortage calculation program (that will be used by professionals all over the the continent).
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For the sake of the customer and the financial institution that will be loaning the money.
With this in mind, let's see here what we can do to help the software make sure that the data is valid all the way.
In this document, we will cover all you'll ever need to know about data validation, what it really means, how to use it effectively and ultimately how to minimize the use of data validation while still assuring that the data is indeed valid. Data validation, as explained above, is making sure that all data (whether user input variables, read from file or read from a database) are valid for their intended data types and stay valid throughout the application that is driving this data.
What this means is data validation, in order to be as successful as it can be, must be implemented at all parts that get the data, processes it and saves or prints the results.
Depending on the datatype at hand different types of field specific validations can be made available for different purposes.