What is data orchestration?
In today’s data-driven world, organizations face the challenge of handling vast amounts of data from diverse sources. Data orchestration is the key to managing this complex data landscape efficiently. It involves the coordination, automation, and monitoring of data workflows, ensuring the smooth execution of tasks and the timely delivery of valuable insights.
Orchestration, in the context of software development and data engineering, refers to the process of automating and managing the execution of interconnected tasks or processes to achieve a specific goal. These tasks might involve data processing, workflow scheduling, service provisioning, and more. The purpose of orchestration is to streamline the flow of operations, optimize resource utilization, and ensure that tasks are executed in a well-coordinated manner.
Traditional, manual orchestration is cumbersome and prone to errors, especially as the complexity of workflows increases. However...
