October 2020
Beginner to intermediate
928 pages
23h 32m
English
Content preview from The Big R-Book
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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.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.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.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.
♣38♣R and Big Data
In the rest of this book we implicitly assume that the data can be loaded in memory. However, imagine that we have a dataset of all the data that you have transmitted over your mobile phone, including messages, images, complete with timestamps and location that results from being connected. Imagine now that we have this dataset for 50 million customers. This dataset will be so large that this becomes impractical, or even impossible to store on one computer. In that case, it is fair to speak of “big data.”
Usually, the academic definition of big data implies that the data has to be big in terms of
- velocity: the speed at which the data comes in,
- variety: the number of columns and formats,
- veracity: the reliability or data quality, and
- volume: the amount of data.
Commercial institutions will add “value” as a fourth word that starts with the letter “v.” While this definition of “big data” has its merits, we rather opt for a very practical approach.We consider our data to be “big” if it is no longer practically possible to store all data on one machine and/or use all processing units (PUs)1 of that one machine to do all calculations (such as calculating a mean or fitting a neural network).
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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.