What is a characteristic feature of the Delta Data Shipping operation mode in SAP HANA system replication?

What is a characteristic feature of the Delta Data Shipping operation mode in SAP HANA system replication?

• A. It only transmits delta data
• B. It transfers data during batch jobs
• C. Delta data shipping takes place in addition to continuous log shipping
• D. It is a manual process initiated by the user

Answer: (C)

Delta Data Shipping is a crucial aspect of SAP HANA system replication, particularly because it enhances data consistency and ensures that changes made on the primary system are efficiently propagated to the secondary system. In this context, the characteristic feature of Delta Data Shipping is that it occurs in addition to continuous log shipping. This mode allows for the transmission of only the changes (delta data) that have occurred since the last synchronization, while also ensuring that the log shipping process—where a record of transactions is constantly sent to the secondary system—continues uninterrupted. This dual approach helps minimize the potential lag between the primary and secondary systems, thereby maintaining higher availability and resilience. By combining delta data with ongoing log shipping, the system can perform more efficiently, as it reduces the volume of data that needs to be transmitted at any given time, which is particularly beneficial during periods of high transaction volumes. This operation ensures that the replication process is both timely and resource-efficient, leading to improved overall system performance.

Delta Data Shipping is a crucial aspect of SAP HANA system replication, particularly because it enhances data consistency and ensures that changes made on the primary system are efficiently propagated to the secondary system. In this context, the characteristic feature of Delta Data Shipping is that it occurs in addition to continuous log shipping.

This mode allows for the transmission of only the changes (delta data) that have occurred since the last synchronization, while also ensuring that the log shipping process—where a record of transactions is constantly sent to the secondary system—continues uninterrupted. This dual approach helps minimize the potential lag between the primary and secondary systems, thereby maintaining higher availability and resilience.

By combining delta data with ongoing log shipping, the system can perform more efficiently, as it reduces the volume of data that needs to be transmitted at any given time, which is particularly beneficial during periods of high transaction volumes. This operation ensures that the replication process is both timely and resource-efficient, leading to improved overall system performance.