Spark data integration is the seamless connection and synchronization of data between Spark and other organizational systems. ETL & ELT (Extract, Transform, Load / Load, Transform) processes play a crucial role in integrating Spark data with other systems within an organization's data infrastructure. Data is extracted from Spark, transformed as needed, and loaded into another destination, typically for storage, analysis, or reporting purposes. CData Sync plays a critical role in Spark data integration, making it easy to replicate Spark data any database or data warehouse and maintain parity between systems