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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Summary
In this chapter, we covered details on understanding enterprise data, its features and categories. We then moved on to define Big Data with the core data definition from enterprise data. We also looked at the paradigm shift that Big Data has brought in and how the market is gearing up to use the technology advancements to handle the Big Data challenges. We also saw how traditional approaches no longer fit the Big Data context and new tools and techniques are being adopted. We also familiarized you with data analytics techniques, their purpose, and a typical data science life cycle.
In the next chapter, we will learn about Greenplum UAP. We will take a deep dive into the differentiating architectural patterns that make it suitable for advanced ...
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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.