December 2017
Beginner to intermediate
322 pages
6h 43m
English
book
Stream Analytics with Microsoft Azure
by Anindita Basak, Krishnaswamy Venkataraman, Ryan Murphy, Manpreet Singh
Content preview from Stream Analytics with Microsoft Azure
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Sliding windows
Sliding windows define all possible intervals of equal duration and output aggregations based on actual event stream activity. Sliding windows can be helpful when an event stream has unpredictable or spiky volume activity. They can help reduce the output during periods of inactivity or when the aggregation results remain unchanged.
The following example shows the average speed and count of cars per city. The aggregates run over every 10-second window and return records every time a computation result changes. When a new car appears, a new record with 10-second computations is produced, with the car count incremented by one. ...
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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.