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How would you optimize a data pipeline to handle high volumes of data

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I would use distributed computing frameworks like Hadoop or Spark to process data in parallel, and partition the data to ensure that it is evenly distributed across nodes. I would also optimize the ETL processes to minimize data movement and implement caching and indexing mechanisms to improve query performance.
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