How John Deere uses Flink to process millions of sensor measurements per second-Greg Finch & Adam Butler
The John Deere data platform receives and processes millions of sensor measurements per second from machines around the world. In this talk, we'll discuss the importance of stream data processing and how we are using it to improve machine automation and to help our customers improve the efficiency of their farm operations. We'll review the evolution of our streaming data platform, discuss lessons learned along the way, and share why we chose Flink to solve some of our most difficult problems. Finally, we'll walk through one of our Flink applications in detail and share techniques that we use to process data at massive scale.
John Deere数据平台每秒接收和处理来自世界各地机器的数百万个传感器测量值。在本文中,我们将讨论流数据处理的重要性,以及我们如何使用它来提高机器自动化,并帮助我们的客户提高他们的农场运营效率。我们将回顾流式数据平台的发展历程,讨论一路上所学到的经验教训,并分享为什么我们选择Flink来解决一些最困难的问题。最后,我们将详细介绍一个Flink应用程序,并共享用于大规模处理数据的技术。