February 2019
Beginner to intermediate
544 pages
14h 36m
English
Content preview from Mastering Hadoop 3
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Row format and column format
It is one of the most important factors when selecting a file format that indicates if a row or column-based format is something that is best suited to our objectives. The column-based storage file format gives better performance when we perform analytic queries that require only a subset of columns to be analysed over large datasets. In columnar formats, data is stored sequentially by column from left to right, top to bottom. If data is grouped by column, then it makes it more efficient to easily focus computation on specified columns of data. Accessing relevant columns of data will save significant amounts of compute costs because unwanted columns are ignored. Column-based storage is also well-suited for sparse ...
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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.