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The check step uses one or more computational rules (see section below) to determine if the data is valid.The Post-validation action sends feedback to help enforce validation.
Data validation rules can be defined and designed using any of various methodologies, and be deployed in any of various contexts.
Data validation rules may be defined, designed and deployed, for example: Definition and design contexts: Data that does not conform to these rules will negatively affect business process execution.
If values in the primary key field are not constrained by database internal mechanism, then they should be validated.
Validation of the foreign key field checks that referencing table must always refer to a valid row in the referenced table.Enforcement action typically rejects the data entry request and requires the input actor to make a change that brings the data into compliance.
The simplest kind of data type validation verifies that the individual characters provided through user input are consistent with the expected characters of one or more known primitive data types; as defined in a programming language or data storage and retrieval mechanism as well as the specification of the following primitive data types: 1) integer; 2) float (decimal); or 3) string.
For example, many database systems allow the specification of the following l (plus, minus, and parentheses).
These additional validity constraints may involve cross-referencing supplied data with a known look-up table or directory information service such as LDAP.
For example, an experienced user may enter a well-formed string that matches the specification for a valid e-mail address, as defined in RFC 5322 but that well-formed string might not actually correspond to a resolvable domain connected to an active e-mail account.
Numerical fields may be added together for all records in a batch.
The batch total is entered and the computer checks that the total is correct, e.g., add the 'Total Cost' field of a number of transactions together. If order does not exist for a "customer" record then it must be either changed to "seed" or the order must be created.
Therefore, data validation should start with business process definition and set of business rules within this process.Tags: Adult Dating, affair dating, sex dating