ETL (Extract, Transform, Load) is a data integration process used to consolidate and manage large volumes of data from multiple sources. It involves extracting raw data from different databases or systems, transforming it into a structured, usable format, and loading it into a centralized data warehouse or storage system for analysis.
An efficient ETL process is vital for business intelligence, analytics, and decision-making. By ensuring accurate, consistent, and timely data, ETL helps businesses gain actionable insights, optimize performance, improve data quality, and make informed strategic decisions.