October 2016
Beginner to intermediate
456 pages
11h 17m
English
book
Predictive Analytics For Dummies, 2nd Edition
by Dr. Anasse Bari, Dr. Mohamed Chaouchi, Dr. Tommy Jung
Content preview from Predictive Analytics For Dummies, 2nd Edition
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Chapter 16
Targeting Big Data
IN THIS CHAPTER
Identifying technological trends in predictive analytics
Exploring predictive analytics as a service
Applying open-source tools
Selecting a large-scale big data framework
At a broad level, big data is the mass of data generated at every moment. It includes — for openers — data emerging in real time from
- Online social networks such as Facebook
- Micro-blogs such as Twitter
- Online customer-transaction data
- Climate data gathered from sensors
- GPS locations for every device equipped with GPS
- User queries on search engines such as Google
And that list barely scratches the surface; think of big data as a growing worldwide layer of data. What to do with it all? Answer: Start by using predictive analytics as a means to extract valuable information from the mass of big data, find patterns in the data, learn new insights, and predict future outcomes.
Here's a familiar example: You might have noticed ads appearing on websites while you're browsing that “just happen” to mention products that you already intended to buy. No magic at work here; the sites that show such ads are utilizing predictive analytics to data-mine (dig up insights from) big data: your buying patterns leave a trail of valuable data online; the well-targeted ads show that someone is using that data.
This chapter shows you how predictive analytics can crack the big-data nut and extract the nutmeat. First we guide you through a number of trends in the predictive analytics market ...
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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.