October 2013
Intermediate to advanced
172 pages
3h 51m
English
Content preview from Getting Started with Greenplum for Big Data AnalyticsBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Chapter 4. Implementing Analytics with Greenplum UAP
In this chapter we will focus on actual implementation of the core tasks in data science life cycle using Greenplum analytics platform. As a quick recap, let us look at all that we covered until now. We have defined characteristics of Big Data, requirements for the next generation analytics, and business intelligence platform. We have also learnt about various phases of data science life cycle, and understood all that Greenplum has to offer to address the analytics' requirements. We have covered a little theory on some standard analytical methods and have had a quick onboarding exercise for R, Weka, and MADlib frameworks. We now have analytics' requirements and we also know where Greenplum product ...
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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.