ETL

Extract, transform, load pipelines move data between operational systems and analytical stores while cleaning, standardizing, combining, or enriching it. ETL is widely used in reporting, data warehousing, migrations, and data preparation for analytics and machine learning. The concept is part of the data lifecycle that connects operational sources with reporting, analytics, automation, and machine-learning workloads.