January 2018
Beginner to intermediate
412 pages
9h 33m
English
Content preview from Practical Big Data Analytics
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Enterprise Data Science
We have thus far discussed various topics regarding both data mining and machine learning. Most of the examples shown were designed so that anyone with a standard computer would be able to run them and complete the exercises. In real-world situations, datasets would be much larger than those encountered in general home use.
Traditionally, we have relied on well-known database technologies such as SQL Server, Oracle, and others for organizational data warehouse and data management. The advent of NoSQL and Hadoop-based solutions made a significant change to this model of operation. Although companies were at first reluctant, the popular appeal of these tools became too large to ignore, and today, most, if not all, large ...
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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.