Data Integration Techniques Explained

Understand the various data integration techniques that can streamline your data management processes.

What is Data Integration?

Data integration involves combining data from different sources to provide a unified view. This is crucial for effective data analysis.

Common Techniques

  • ETL (Extract, Transform, Load): A traditional method for data integration.
  • Data Virtualization: Allows real-time access to data without physical movement.
  • API Integration: Connects different applications for seamless data flow.