In the era of big data, when more pieces of information are processed and stored than ever, implementing measures that preserve the integrity of the data that’s collected has never been more important. This interesting information came to us from Security Boulevard in their article, “Garbage In, Gospel Out: The Security Problem of Data Accuracy.”
Data integrity is the overall accuracy, completeness and consistency of data. The term also refers to the safety of data in regards to regulatory compliance and security. It is maintained by a collection of processes, rules and standards implemented during the design phase. When the integrity of data is secure, the information stored in a database will remain complete, accurate and reliable no matter how long it’s stored or how often it’s accessed.
Protecting databases that themselves contain inaccurate information may lead to a false sense that the information being “secure” is therefore “reliable.” Data integrity also ensures that your data is safe from any outside forces.
Melody K. Smith
Sponsored by Data Harmony, a unit of Access Innovations, the world leader in indexing and making content findable.
