Final answer:
Data Dependency refers to a situation where the deletion of a data record unintentionally affects another related record, while a Data Breach refers to unauthorized access to data. These concepts are critical in the field of information technology, where ensuring data integrity and security is paramount.
Step-by-step explanation:
If the removal of facts about one entity results in the unintentional loss of data about another entity, this is referred to as a Data Dependency. This term refers to a situation where two sets of data are related such that the change in one directly affects the other. In the context of database management, if the deletion of one record accidentally leads to the loss of crucial data in a related record, this could be due to improperly managed referential integrity or a lack of understanding of the database's relational structure, which creates a dependency between the entities.
In contrast, a Data Breach refers to the unauthorized access and extraction of data, which could result in identity theft, financial theft, national security issues, power shutdowns, and election interference. Breaches can cause significant chaos and financial damage for businesses and individuals alike. We often hear about them in the news, especially when they involve high-profile cases, like the iCloud breach that affected celebrities. However, everyday individuals are also at risk, for instance, when clicking on suspect links in phishing emails.
Therefore, distinguishing between Data Dependency and a Data Breach is important for understanding the nature of data-related problems and their potential solutions, especially when considering a career in information technology where protecting data integrity and security is crucial.