Today, the ETL process is an essential part of data analytics workflows-but it only moves data from periphery business apps into a central data warehouse, not the other way around.
ETL (extract, transform, load) has been around in the software world since the late 1970s, but its recent adoption has skyrocketed as data analytics become increasingly important to businesses of all types and sizes.