As an analytic table grows in size, it becomes apparent that newer data is read far more often than older data. While columnstore metadata and rowgroup elimination provide the ability to quickly filter out large amounts of columnstore index data, managing a table with millions or billions of rows can become cumbersome.
Equally important is the fact that older data tends to not change often. For a typical fact table, data is added onto the end of it in the order it is created, whereas ...