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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5. Data Munging with Hadoop
If you torture the data long enough, it will confess.
Ronald Coase, Economist
In This Chapter:
What data quality is, the different types of data quality issues that arise in data, and how to address them with Hadoop
The importance of feature generation, various types of features, and how to generate features for your model with Hadoop
Feature selection and dimensionality reduction and its importance in addressing the ...
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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.