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 3. Advanced Analytics – Paradigms, Tools, and Techniques
Welcome to the world of analytics!
In this chapter, we will learn and recap important analytic techniques or methods that data scientists employ and practice as a part of a data science project implementation. For each of the analytic techniques, we will set the context for its application and detail the expected outcome. Additionally, we will learn how to apply R, Weka, MADlib, and Hadoop frameworks and tools for analytics in general as well as in the context of Greenplum.
The following topics are covered in this chapter:
- Introduction to standard analytic paradigms: descriptive, predictive, and prescriptive analytics
- Dive deep into important analytical methods: simulations, clustering, ...
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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.