December 2016
Beginner to intermediate
256 pages
7h 26m
English
book
Practical Data Science with Hadoop® and Spark: Designing and Building Effective Analytics at Scale
by Ofer Mendelevitch, Casey Stella, Douglas Eadline
Content preview from Practical Data Science with Hadoop® and Spark: Designing and Building Effective Analytics at Scale
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4. Getting Data into Hadoop
You can have data without information, but you cannot have information without data.
Daniel Keys Moran
In This Chapter:
The data lake concept is presented as a new data processing paradigm.
Basic methods for importing CSV data into HDFS and Hive tables are presented.
Additional methods for using Spark to import data into Hive tables or directly for a Spark job are presented.
Apache Sqoop is introduced as a tool for ...
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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.