Extract, transform, and load (ETL) is a data pipeline used to collect data from various sources. It then transforms the data according to business rules, and it loads the data into a destination data store. Implementing ETL Pipeline architecture with the Database Replication property can speed up data processing. Change Data Capture (CDC) is one of the most popular methods of carrying out this Data Replication process. CDC is a data integration capability available with most major databases. It monitors, identifies and captures changes to stored data and delivers them to external systems, commonly for replication. Changes are captured in a transaction log stored in the database and typically include adding, updating and deleting the contents of rows, and modifying the schema of a table.