Final answer:
The ability to add a new object to a database without disrupting existing processes exemplifies data concurrency. This concept is crucial for databases that handle multiple users and transactions simultaneously.
Step-by-step explanation:
The ability to add a new object to a database without disrupting existing processes is an example of data concurrency. Data concurrency ensures that multiple operations, or transactions, can occur simultaneously without interfering with each other. Good data concurrency mechanisms keep data consistent while providing concurrent access to the data.
In contrast, data integrity refers to the accuracy and consistency of data over its lifecycle. Data security means protecting data from unauthorized access or alterations, and data normalization is the process of organizing data to minimize redundancy and improve data integrity.
Understanding these concepts is important for maintaining robust database systems that can handle multiple users and preserve data safety and integrity. The ability to add a new object to a database without disrupting existing processes is an example of Data concurrency. Data concurrency refers to the ability to have multiple users or processes accessing the same data simultaneously without conflict or inconsistency.
When a new object is added to a database, it should not interfere with other operations that are currently accessing or modifying the data. This ensures that the integrity of the data is maintained and existing processes can continue to function smoothly.
For example, in a banking system, if a new customer opens an account, it should not disrupt ongoing transactions or balance calculations for other customers that are happening concurrently.