How can you ensure data consistency between integrated systems?

Implementing transaction management and data synchronization techniques is essential for ensuring data consistency between integrated systems. Transaction management ensures that all parts of a data transaction are completed successfully before committing changes, which prevents incomplete or erroneous data from being recorded. This is particularly important in environments where multiple systems must interact and share data simultaneously, as it guarantees that either all changes happen, or none at all, thereby maintaining the integrity of the data across systems.

Data synchronization techniques complement this by ensuring that data remains uniform across different systems. This involves using methods such as real-time data replication, batch updates, or change data capture to keep different databases or data stores aligned. By employing these strategies together, organizations can address potential discrepancies and conflicts in data, thereby enhancing overall data reliability and consistency across integrated systems.

The other options do not effectively address the complexities of maintaining data consistency in integration scenarios. For example, using more storage space does not inherently improve data consistency; rather, it may provide a temporary workaround for data management issues. Reducing the number of integrated systems may simplify the architecture but does not guarantee that the remaining systems will maintain consistent data. Lastly, simplifying the user interface may enhance user experience but has no direct impact on the technical aspects of data management and integration.