Batching vs. Streaming - John Deere's Journey to Scale & Process Millions of Measurements a Second
The John Deere data platform receives and processes millions of sensor measurements per second from machines around the world.
In this talk, Adam will discuss the various technologies and architectures John Deere has implemented and how they had to adapt to ever-increasing volumes of data. Adam will explore their usage of Lambda/Kinesis, Spark and Flink...where they worked, where they didn't, lessons learned and how their current architecture is a blend of all three.
In this talk you'll learn:
- The inner workings of the John Deere data platform
- How to adapt to ever-increasing volumes of data
- Pros and Cons of using Lambda/Kinesis, Spark and Flink