May 2012
Intermediate to advanced
682 pages
22h 19m
English
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Chapter 1. Meet Hadoop
In pioneer days they used oxen for heavy pulling, and when one ox couldn’t budge a log, they didn’t try to grow a larger ox. We shouldn’t be trying for bigger computers, but for more systems of computers.
—Grace Hopper
Data!
We live in the data age. It’s not easy to measure the total volume of data stored electronically, but an IDC estimate put the size of the “digital universe” at 0.18 zettabytes in 2006 and is forecasting a tenfold growth by 2011 to 1.8 zettabytes.[2] A zettabyte is 1021 bytes, or equivalently one thousand exabytes, one million petabytes, or one billion terabytes. That’s roughly the same order of magnitude as one disk drive for every person in the world.
This flood of data is coming from many sources. Consider the following:[3]
The New York Stock Exchange generates about one terabyte of new trade data per day.
Facebook hosts approximately 10 billion photos, taking up one petabyte of storage.
Ancestry.com, the genealogy site, stores around 2.5 petabytes of data.
The Internet Archive stores around 2 petabytes of data and is growing at a rate of 20 terabytes per month.
The Large Hadron Collider near Geneva, Switzerland, will produce about 15 petabytes of data per year.
So there’s a lot of data out there. But you are probably wondering how it affects you. Most of the data is locked up in the largest web properties (like search engines) or in scientific or financial institutions, isn’t it? Does the advent of “Big Data,” as it is being called, affect smaller ...
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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.