November 2014
Beginner to intermediate
326 pages
7h 4m
English
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Performing capacity planning
Hadoop and HBase were developed to run commodity hardware so that we can have hundreds of commodity machines and configure a Hadoop/HBase cluster. As data becomes costlier or important, we prefer some good machines so as to provide a robust cluster operation.
We have two scenarios—one in which we have many low-end machines, and another in which we have less number of machines for a cluster to be configured. In the first scenario, what we can do is set the replication factor more as we have many machines with storage and memory, and by setting a higher replication of data, we can make sure that data is available even if a machine fails frequently. For this scenario, we must have a good configuration machine that hosts ...
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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.