Data Integration Strategies

Data integration strategies involve methods and processes that combine data from different sources into a unified view. Common strategies include extraction, transformation, and loading (ETL), where data is collected, cleaned, and organized. Real-time integration continuously updates data for immediate access, while batch integration processes data at scheduled intervals. Other approaches include data virtualization, which allows access without physical movement, and middleware that acts as a bridge between systems. These strategies help businesses make better decisions by providing a comprehensive and coherent picture of their data.