CDC can be used to reduce the resources required during the ETL “extract” step it can also be used independently to move data that has been transformed into a data lake or other repository in real time. Change Data Capture (CDC) identifies and captures only the source data that has changed and moves that data to the target system.Typically, ETL takes place during off-hours when traffic on the source systems and the data warehouse is at its lowest.ĮTL and ELT are just two data integration methods, and there are other approaches that are also used to facilitate data integration workflows. For most organizations that use ETL, the process is automated, well-defined, continuous and batch-driven. Typically, this involves an initial loading of all data, followed by periodic loading of incremental data changes and, less often, full refreshes to erase and replace data in the warehouse. In this last step, the transformed data is moved from the staging area into a target data warehouse. Formatting the data into tables or joined tables to match the schema of the target data warehouse.
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