What is ETL in data integration?

ETL stands for Extract, Transform, Load—a standard process in data integration. It involves extracting data from various sources, transforming it into a usable format, and loading it into a central storage system such as a data warehouse or data lake. ETL is essential for harmonizing data before analysis.

Modern data engineering services often implement ETL using tools like Apache Airflow, Talend, or AWS Glue. With help from experienced data engineering consultants, organizations can streamline their data integration workflows for speed, scalability, and compliance.