March 2014
Beginner to intermediate
360 pages
8h 58m
English
Content preview from Predictive Analytics For Dummies
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Chapter 16
Targeting Big Data
In This Chapter
Identifying technological trends in predictive analytics
Applying open-source tools to big data
Building a rapid prototype
At a broad level, big data is the mass of data generated on the Internet 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, 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 ...
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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.