Users import huge amounts of data into the system every day.
You want to optimize the performance for the imports.
You enable change tracking for the data entities.
Has your objective been met?
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A. B.B.
Enabling change tracking for data entities can help optimize performance for imports in certain scenarios, but it may not always be sufficient to meet the objective of optimizing performance.
Change tracking allows the system to track changes made to data entities and return only the changed data during subsequent requests. This can improve the performance of data imports by reducing the amount of data that needs to be processed and transferred, especially when dealing with large data sets.
However, the effectiveness of change tracking in optimizing performance depends on various factors, such as the size and complexity of the data being imported, the frequency of changes, and the nature of the queries being used. In some cases, other performance optimization techniques, such as indexing or partitioning, may need to be used in conjunction with change tracking to achieve optimal results.
Therefore, the answer to the question depends on the specific circumstances and requirements of the data import process. It is possible that enabling change tracking alone may not fully meet the objective of optimizing performance, but it can certainly be a useful tool in achieving that goal.