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
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Preface
Data science and machine learning are at the core of many innovative technologies and products and are expected to continue to disrupt many industries and business models across the globe for the foreseeable future. Until recently though, most of this innovation was constrained by the limited availability of data.
With the introduction of Apache Hadoop, all of that has changed. Hadoop provides a platform for storing, managing, and processing large datasets inexpensively and at scale, making data science analysis of large datasets practical and feasible. In this new world of large-scale advanced analytics, data science is a core competency that enables organizations to remain competitive and innovate beyond their traditional business models. ...
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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.
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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.