Referential integrity1/31/2024 In a database with referential integrity, each time you updated a customer's information in the contact information table, the database would update the same data in the sales reports table. An example of this would be if there are two tables, one with customer contact information and one with sales reports. The referential integrity of a database shows the reliability of the data. These rules prevent you from accidentally duplicating data and they help to ensure that data is accurate and relevant. These processes are inside the structure of the database to ensure that when changes, additions or deletions of data occur, they don't compromise data in other parts of the database. ![]() You can do this through a series of processes that confirm you're storing and manipulating the data uniformly across tables. Referential integrity is a concept that insists each reference from one table to another is legitimate so that any changes in one table affect relevant data linked to it. Related: SQL Interview Questions and Answers What is referential integrity? A database can require this type of integrity if the business using the database has its own rules and constraints it adheres to within its database. User-defined integrity: User-defined integrity refers to the rules and constraints the user follows to fit their particular needs. Domain integrity refers to the processes within a database that make sure the data within the table are within the domain. The domain can have limitations based on value, format or the amount of data. It allows data across tables to be linked in a database, meaning that information from one table can automatically show in another.ĭomain integrity: A domain is a set of values that can you can have within a column, according to the database criteria. Referential integrity is a type of logical integrity, but there are also three other types:Įntity integrity: Entity integrity is the creation of unique values that are assigned to pieces of data to prevent you from duplicating data. It also relies on protections against human error and hackers to preserve the data's logic, instead of its accessibility. Logical integrity requires data to be accurate, complete and unchanging. Logical integrity refers to the need for data to make sense given its context within the database. Human error or storage erosion can also prevent you from being able to access the database and retrieve data, making them a challenge for physical integrity despite not being specific physical events. These events compromise physical integrity because you can no longer access the data. Examples of compromising events against physical integrity include natural disasters, power outages or hacking. Physical integrity is the protection of stored data against any events that prevent data from being retrieved. Here are two different types of data integrity: Physical integrity However, there are a variety of types of data integrity that a database can have. ![]() This can prevent confusion and ensure uniformity across all data. Data integrity can also refer to how secure the data is within the database from outside forces trying to access or manipulate it.Īn example of a process that ensures data integrity is a rule in the table or database's design that requires all numbers to be positive whole integers. Following the parameters, that data can remain complete and accurate, regardless of how long you store it or how often you access it. A set of processes and rules for data entry are inherent in a database's design to create the parameters. A database's parameters regarding the types of data it can store determine the integrity of the data within. ![]() Related: What are the Different Types of Databases? What is data integrity?ĭata integrity is the overall accuracy of data within a database. In this article, we define data integrity and referential integrity and list some similarities and differences between the two concepts. By learning about common concepts associated with databases, such as data and referential integrity, you can improve your understanding of how to protect data. The need to store large quantities of data is common in many industries, meaning it's often vital for companies to understand how to protect their data.
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