Data orchestration is a process that streamlines data workflows by automating, managing, and coordinating tasks in a specific order to ensure successful completion. This article explains how data teams can use data orchestration to their advantage, such as consolidating data from various storage locations, authoring pipelines and workflows, and automating processes involved in data management. Data orchestration helps quickly identify errors and their root causes, enabling data workflows to function as intended without restarting.
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