Data Sync Recovery Point Objective (RPO) is a measure of acceptable data loss in the event of a system failure or data corruption.
Data Sync Recovery Time Objective (RTO) is a measure of how quickly a system can recover and synchronize data after an unexpected failure.
Data Sync Monitoring is a process that ensures the accuracy, consistency, and reliability of data synchronization between different systems.
Data Sync Metadata is a mechanism that provides information about the structure, organization, and relationships of datasets within a data lakehouse environment.
Data Synchronization is the process of keeping data consistent between different systems or databases, ensuring data integrity and providing an audit trail for changes.
Batch Data Synchronization is a process of updating data in bulk to ensure consistency across systems and enable efficient data processing and analytics.
Hybrid Data Synchronization is a data integration approach that enables businesses to seamlessly synchronize and manage data across both on-premises and cloud-based environments.