Invalid data is information that is false, incomplete, or unrelated to the subject being studied or evaluated. For example, a researcher can falsify data, such as by claiming more people participated in the study than the number who actually responded. A company can make a claim that twists the numbers of satisfied customers. A physician can falsely claim that he has a 100% success rate when half of his cancer patients have died. A drug study could claim that "3 out of 4" patients found this drug helpful, but what if there were only 4 patients who took the drug--ever.
People act on "invalid data" all the time, too, in everyday lives. For example, a boyfriend decides his girlfriend is cheating because she didn't answer her phone. But she lost her phone so that is why she isn't answering. (invalid data/information)
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Considering that the purpose of a URL is to serve as an "address" for a resource, a URL is invalid when it does not identify an existing resource.
A database is only as useful as the data it contains. Validation helps prevent invalid or inconsistent data from getting stored. At the most elementary level, it could be as simple are requiring a given element to only contain numerical data. More complex validation rules might entail a list of valid values, cross-field edits (if field A contains "xyz", then field B cannot contain "abc") and various more complex rules known as constraints (such as foreign key and NOT NULL rules.)
15.242.55.6227 is an invalid IP address.
Data dictionary is a set of meta-data which contains the definition and representation of data elements.It gives a single point of reference of data repository of an organization.Data dictionary lists all data elements but does not say anything about relationships between data elements.
it's data warehouse....data warehouse: it is a collection of multiple databases or it it is repository of data.data mining it is the process of extracting data from data warehouse.