What ensures that data remains consistent during operations on Business Objects?

Data integrity checks are processes or mechanisms that are put in place to ensure the accuracy and consistency of data within a system, particularly during operations on Business Objects. They perform validation of data as it is created, modified, or deleted, thus preventing any corrupt data from entering the system. This is essential in environments like Teamcenter where multiple users may interact with the same sets of data at different times, ensuring that the information remains reliable and error-free.

By implementing data integrity checks, the system can automatically verify whether the data being processed meets predefined standards and constraints, which helps maintain a stable operational environment. This includes checks to prevent duplicate entries, ensure proper relationships between different objects, and validate that all necessary fields are completed correctly.

While business rules, property rules, and validation constraints are also important aspects of data management within Teamcenter, they serve different purposes. Business rules dictate how data should behave or be processed, property rules define constraints and dependencies for specific attributes, and validation constraints set conditions that data must meet before being accepted. However, it is the data integrity checks that play a direct role in maintaining overall data consistency during operations on Business Objects.