ETL refers to the process of extracting data from multiple sources, transforming it into a suitable format for analysis, and loading it into a final target database, data warehouse, or other data storage system. This allows organizations to consolidate and analyze data from various sources effectively. The ETL process is essential for enabling business intelligence and analytics, as it ensures that data is accurate, consistent, and up-to-date for decision-making. ETL tools automate and streamline these processes, making it easier for analysts to work with large datasets without manual coding.