September 2017
Beginner to intermediate
360 pages
8h 13m
English
book
Practical Real-time Data Processing and Analytics
by Shilpi Saxena, Selva raj Ramasamy, Prateek Bhati, Saurabh Gupta
Content preview from Practical Real-time Data Processing and Analytics
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Summary
In this chapter, we acquainted the reader with the basics of Storm. We started with the history of Storm, where we discussed how Nathan Marz got the idea for Storm and what types of challenges he faced while releasing Storm as open source software and then in Apache. We discussed the architecture of Storm and its components. Nimbus, supervisor workers, executors, and tasks are all part of Storm's architecture. Its components are tuples, stream, topology, spouts, and bolts. We discussed how to set up Storm and configure it to run in the cluster. Zookeeper is required to be set up first, as Storm requires it.
At the end of the chapter, we discussed a word count example implemented in Storm using a spout and multiple bolts. We showed ...
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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.