ETL stands for Extract, Transform, Load. It’s a process used to move data from different sources into a single, consistent data store that is ready for analysis. Here’s what each step involves: Extract: This is where we gather data from different places like databases, spreadsheets, or online services.

ETL stands for Extract, Transform, Load. It is a process commonly used in data integration and data warehousing to collect, transform, and load data from various sources into a target system, such as a database, data warehouse, or data lake.

ETL comes from Data Warehousing and stands for Extract-Transform-Load. ETL covers a process of how the data are loaded from the source system to the data warehouse. Currently, the ETL encompasses a cleaning step as a separate step. The sequence is then Extract-Clean-Transform-Load.