An ETL process is automated by utilizing software tools that orchestrate the data flow from source to destination with minimal human intervention. These tools manage the entire data warehouse lifecycle, facilitating the extraction of data from various sources, applying predefined transformation rules to cleanse and format the data, then load the processed data into a data warehouse or data lake. This automation enhances efficiency, reduces errors and accelerates the availability of data for analysis, relying on scheduled executions, event triggers and real-time monitoring to maintain the integrity and quality of the data pipeline. Get a deeper understanding of the ETL process and ETL automation.