February 2019
Beginner to intermediate
544 pages
14h 36m
English
Content preview from Mastering Hadoop 3
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Choosing file format
Files are important parts of a data pipeline as data is stored in files. We use different file formats for data management, configuration management, or for other uses. For example, the common files we have been using are XML, JSON, and CSV. Users may require a more lightweight data format and web service for Hadoop. The CPU and memory needed for processing the extra bytes, transporting over the network, and storing using storage are always limited and therefore it is important to choose the right file format and compression techniques. Let's look into how we do it.
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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.