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Data processing and _ play a crucial role in managing data within an organization. Data processing involves transforming raw data into a more meaningful and structured format, while data orchestration involves coordinating the execution of various data processing tasks and ensuring their proper sequencing and dependencies. Together, they enable the transformation of raw data into valuable insights and provide the necessary coordination and automation to ensure the efficiency and reliability of data processing pipelines.