November 2010
Intermediate to advanced
336 pages
11h 16m
English
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Chapter 9. Running Hadoop in the cloud
This chapter covers
- Setting up a compute cloud with Amazon Web Services (AWS)
- Running Hadoop in the AWS cloud
- Transferring data into and out of an AWS Hadoop cloud
Depending on your data processing needs, your Hadoop workload can vary widely over time. You may have a few large data processing jobs that occasionally take advantage of hundreds of nodes, but those same nodes will sit idle the rest of the time. You may be new to Hadoop and want to get familiar with it first before investing in a dedicated cluster. You may own a startup that needs to conserve cash and wants to avoid the capital expense of a Hadoop cluster. In these and other situations, it makes more sense to rent a cluster of machines rather ...
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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.