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Dealing with the Deluge of Big Data

机译:处理大数据的洪水

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摘要

Internet of Things (IoT) data is the new currency driving strategic decision making, including helping engineers gain insight into what to build and how to build it more effectively. Yet in order to reap the full impact, organizations need a strategy for managing the data deluge so it doesn't swamp efforts to optimize product designs. Big Data's role is to deliver insights that can steer higher quality product designs and be leveraged for predictive maintenance to more effectively service products once out in the field. The concept works by equipping products of all types with an assortment of sensors that collect and transmit critical data in real-time over the Internet to a central repository. From there, the data - recorded temperature, stress points and speed, among other variables - is massaged, potentially mingled with external data, and ultimately mined for insights that could direct any number of product development decisions.
机译:物联网(IoT)数据是推动战略决策的新货币,包括帮助工程师洞悉要构建的内容以及如何更有效地构建它。然而,为了获得全部影响,组织需要一种策略来管理数据泛滥,以免浪费大量精力来优化产品设计。大数据的作用是提供洞察力,以指导高质量的产品设计,并利用其进行预测性维护,以在现场提供更有效的产品服务。该概念通过为各种类型的产品配备各种传感器来进行,这些传感器可以通过Internet实时收集和传输关键数据并将其传输到中央存储库。从那里开始,对数据(记录的温度,应力点和速度以及其他变量)进行按摩,可能将其与外部数据混合,并最终进行挖掘以获取可指导许多产品开发决策的见解。

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