April 2014
Beginner
336 pages
8h 49m
English
Content preview from Developing Analytic Talent: Becoming a Data ScientistBecome 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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CHAPTER2
Big Data Is Different
In Chapter 1, you considered what data science is and is not, and saw how data science is more than data analysis, computer science, or statistics. This chapter further explores data science as a new discipline.
The chapter begins by considering two of the most important issues associated with big data. Then it works through some real-life examples of big data techniques, and considers some of the communication issues involved in an effective big data team environment. Finally, it considers how statistics is and will be part of data science, and touches on the elements of the big data ecosystem.
Two Big Data Issues
There are two issues associated with big data that must be discussed and understood: the “curse” of big data and rapid data flow. These two issues are discussed in the following sections.
The Curse of Big Data
The “curse” of big data is the danger involved in recklessly applying and scaling data science techniques that have worked well for small, medium, and large data sets, but don't necessarily work well for big data. This problem is well illustrated by the flaws found in big data trading (for which solutions are proposed in this chapter).
In short, the curse of big data is that when you search for patterns in large data sets with billions or trillions of data points and thousands of metrics, you are bound to identify coincidences that have no predictive power. Even worse, the strongest patterns might
- Be caused entirely by chance (like ...
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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.