-
Book Overview & Buying
-
Table Of Contents
-
Feedback & Rating

Mastering MongoDB 7.0
By :

In terms of structured relational databases, the paramount considerations are making sure your data is reliable, and everything runs efficiently. Two foundational principles drive this focus:
In the context of a relational database management system (RDBMS), a data anomaly is an inconsistency in the dataset resulting from a write operation, such as insert, delete, or update. For example, a university stores student information such as email, phone numbers, and addresses in multiple tables or columns. Over time, a student's phone number changes, and the university administration updates the phone number field in one of the tables or columns but forgets to update the others. As a result, the system now has conflicting information for the same student's phone number. Such a situation creates a data anomaly known as an update anomaly.
Data redundancy refers to the unnecessary...