ETL (Extract, Transform, Load) is still relevant in the data-driven age as it allows companies to manage large chunks of data, perform data aggregation and transformation, optimize resource management, and execute tasks during off-peak hours. ETL plays a crucial role in orchestrating data workflows and meeting the demands of the data-driven world.
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