Big data is a challenging issue as its volume, shape, and size need to be modified in order to extract important information for a specific purpose. The amount of data is rising with the passage of time. This increase in volume can be a challenging issue to analyze the data for smooth industry and the Internet of things. Several tools, techniques, and mechanisms are available to support the handling and management process of such data. Decision support systems can be one of the important techniques which can support big data in order to make decisions on time. The proposed study presents a decision support system to deal with big data and scientific programming for the Industrial Internet of Things. The study has used the tool of SuperDecisions to plot the hierarchy of situations of big data and scientific programming and to select the best alternative among the available.

中文翻译：

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大数据、科学编程及其在工业物联网中的作用：决策支持系统

大数据是一个具有挑战性的问题，因为需要修改其体积、形状和大小，以便为特定目的提取重要信息。数据量随着时间的推移而增加。这种数量的增加对于分析平滑行业和物联网的数据来说可能是一个具有挑战性的问题。有多种工具、技术和机制可用于支持此类数据的处理和管理过程。决策支持系统是支持大数据及时决策的重要技术之一。拟议的研究提出了一个决策支持系统来处理工业物联网的大数据和科学编程。