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Everyone knows that Docker is great for deploying applications, but Docker can also be incredibly powerful when applied to distributed data analysis. If you think about it, containers actually provide all the fundamental ingredients for scalable distributed data processing — they’re incredibly lightweight, highly parallelizable, and completely development-environment agnostic. Docker containers also have an extensive distributed systems toolkit built around them, including monitoring tools, schedulers, and orchestration frameworks for managing large clusters.

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