January 2018
Beginner to intermediate
412 pages
9h 33m
English
Content preview from Practical Big Data Analytics
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External Data Science Resources
The book has covered a very wide range of materials, from Hadoop to NoSQL and machine learning to enterprise data science. The information has been exhaustive, but due to space limitations, we have not gone deep into any one particular area.
In the next few sections, we have provided links to external material for further reading that you may find useful should you want to learn more about the respective topics.
Several of the solutions here are either open source or community versions of enterprise software. The latter can be especially useful if you are considering enterprise solutions for big data and/or data science.
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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.