THE MECHANICS OF DATA

Large data warehouses can produce vast volumes of redo, especially during batch loads or transformation cycles. In many cases, the daily archive log generation alone exceeds what can reasonably be staged, transferred, or retained in a recovery area for the duration of a migration. This makes redo-dependent strategies operationally complex, if not outright impractical. At the same time, performance-driven design choices further complicate matters. Many warehouse workloads rely heavily on NOLOGGING operations—such as direct-path inserts, CTAS (Create Table As Select), and index rebuilds—to maximise throughput. While effective for performance, these operations get created in a way to bypass redo generation, meaning replication technologies like Oracle Golden Gate or Data Guard cannot guarantee...