Data Integration ensures that information is timely, accurate, and consistent across complex systems. Although it is still frequently referred as Extract-Transform-Load (ETL), data integration was initially considered as the architecture used for loading Enterprise Data Warehouse systems. Data integration now includes data movement, data synchronization, data quality, data management, and data services.