November 2018
Intermediate to advanced
556 pages
14h 42m
English
Content preview from Hands-On Industrial Internet of Things
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Analytics on the edge
On-edge analytics are the newest class of analytics in the IoT and the oldest class of analytics in the industrial sector. Indeed, industries started developing analytics on the controller from the beginning. Recently, the idea that everything should be cloud-based has become less important and vendors have started deploying cloud analytics on the edge. This is described in more detail later on in this chapter.
There are three use cases in which it is important to deploy analytics on the edge:
- If you have high sampling data, such as the vibration of a turbine
- If you have a policy restriction regarding sending data outside the region
- If you require low latency
Let's discover the most interesting techniques to implement ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.