What is a method for implementing versioning in applications connected to Azure SQL Database?

Implementing versioning in applications connected to Azure SQL Database is effectively achieved through the use of row versioning or managing the application layers. Row versioning provides a mechanism for concurrency control, allowing multiple users to access the same data without conflict. This is particularly useful in environments that require high availability and real-time data access, as it helps to prevent data conflicts during transactions.

Row versioning works by assigning a unique version number to each row whenever it is updated, allowing applications to track changes over time. This approach enables developers to read the previous state of a record, thereby providing the functionality needed to implement features like undo/redo or change tracking.

Managing application layers effectively can further enhance versioning by ensuring that the logic for handling different data versions is encapsulated within the application itself. This allows for flexibility and control over how different versions of data are accessed and manipulated, tailored to the specific needs of the application.

In contrast, other methods such as table partitioning, backup snapshots, and data retention policies serve different purposes. Table partitioning is primarily focused on optimizing query performance and managing large datasets, while backup snapshots relate to data recovery rather than versioning. Data retention policies are aimed at controlling how long data is kept, which also does not directly address