What is Data ETL?

Data ETL (Extract, Transform, Load) is a process used to move data from various sources into a data warehouse or other data storage system. It involves three key steps: Extracting data from different sources, transforming the data to conform to a consistent format and quality standards, and loading the transformed data into the target system for analysis and reporting. ETL processes are commonly used to consolidate data from disparate systems to enable business intelligence and data-driven decision making.