CDC

Data integration techniques are crucial in Big Data projects for combining and consolidating diverse data sources to provide a unified view. The commonly used techniques in Big Data projects include Extract, Transform, Load (ETL) processes, Change Data Capture (CDC), and data virtualization. ETL processes involve extracting data from multiple sources, transforming it to match the target system requirements, and loading it into a data warehouse or data lake. CDC techniques capture and replicate data changes in real time to keep the data synchronized across systems. Data virtualization enables access to data stored in different systems without physically moving or replicating it.