一种简单的存储和可视化物联网传感器数据的方法

　　一种简单的存储和可视化物联网传感器数据的方法

　　物联网（IOT）设计的应用有望产生数据填补云提供可操作的信息，令。然而，对于大多数物联网开发商，流数据的云和意义，它需要专家级的数据交换和分析技术的理解。

　　没有简单的方法来深入分析数据流的实时从多个来源，物联网开发人员可以发现自己很难理解其应用程序的整体功能性能的数据质量问题的影响。

　　为了帮助这一点，初始状态技术提供了一个分析服务，开发人员可以使用轻松获得深入了解物联网设备数据。然后，他们可以转换成有用的信息，可访问桌面或移动设备。

　　The need for embedded analytics

　　For any IoT application， the product of interest to its users is the actionable information derived from data streams generated by sensor nodes attached to individuals， equipment， or structures. Among the challenges facing IoT developers， the verification of these data streams requires the ability to visualize and measure the data itself.

　　For this， IoT application developers can take advantage of a growing array of cloud-based services to transform raw data into the required result. Within these data processing workflows， data analytics provides a critical capability for humans to understand the nature of the data to ensure its quality and identify useful events or anomalies that cannot be anticipated in the workflow.

　　For developers， IoT data analytics brings an entirely new set of requirements beyond those familiar to Web developers. While the latter typically requires offline batch processing of large log files， IoT data analytics combines large data repositories （“big data”） with “fast data.” To be effective， IoT applications must process large streams of data in real time to react to real-world events.