February 2016
Beginner to intermediate
326 pages
7h 46m
English
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Chapter 9. Analysis of Streaming Data Using Spark Streaming
Enterprises in today's modern era consume data from a variety of data sources. The delivery of data from these sources is not only in different formats (CSV, text, Excel, and so on), but at the same time they may provide different mechanisms for data consumption. For example, some data sources may provide a particular location on the shared filesystem or some may provide data streams (https://en.wikipedia.org/wiki/Data_stream) or queuing-based systems.
Though there are tools and technologies to handle the complexities of data consumption, the real challenge is always to have a single solution/platform that can meet and solve all problems. Enterprises have been focusing on developing/deploying ...
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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.