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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Understanding stream processing
So what is stream processing and why is it important? In traditional data processing, data is typically processed in batch mode. The data will be dealt with on a regular schedule. One fundamental challenge with conventional data processing is it's inherently reactive because it focuses on ageing information. Stream processing, on the other hand, processes data as it flows through in real time.
The following are some of the highlights of why stream processing is critical:
- Response time is critical:
- Reducing decision latency can unlock business value
- Need to ask questions about data in motion
- Can't wait for data to get to rest before running computation
- Actions by human actors:
- See and seize insights
- Live ...
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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.