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How would you design a scalable and fault-tolerant data pipeline?

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I would start by breaking the pipeline into smaller components, such as ingestion, transformation, and storage. Then, I would use distributed computing technologies like Apache Spark or Hadoop to handle large volumes of data. I would also implement redundancy and fault tolerance mechanisms such as checkpointing and data replication to ensure high availability.
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