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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Data science
Data analytics discussed in the previous section forms an important step in a data science project. In this section, we will explore the philosophy of data science and the standard life cycle of a data science project.
Data science is all about turning data into products. It is analytics and machine learning put into action to draw inferences and insights out of data. Data science is perceived to be an advanced step to business intelligence that considers all aspects of Big Data.
Data science life cycle
The following diagrams shows the various stages of data science life cycle that includes steps from data availability/loading to deriving and communicating data insights until operationalizing the process.
Phase 1 – state business problem ...
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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.