I congratulate the authors for their interesting and insightful discussion on big data in production environments. Although problems with big data are trendy research topics, there are many practical opportunities and challenges for its use by quality practitioners for data-driven activities such as assurance, diagnosis, monitoring, and control. I appreciate the opportunity to discuss and provide my insights on the topic. In the following, I confine my assessments to data acquisition and preprocessing, and statistical methods for quality engineering.

中文翻译：

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关于“具有大数据的经验：从数据科学家的角度考虑”的讨论

我祝贺作者对生产环境中的大数据进行了有趣而有见地的讨论。尽管大数据问题是新的研究主题，但是质量从业人员将其用于数据驱动的活动（例如保证，诊断，监视和控制）时，存在许多实际机会和挑战。我很高兴有机会讨论和提供有关该主题的见解。在下文中，我将评估限于数据采集和预处理以及用于质量工程的统计方法。