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Mastering Apache Cassandra - Second Edition

You're reading from   Mastering Apache Cassandra - Second Edition Build, manage, and configure high-performing, reliable NoSQL database for your application with Cassandra

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Product type Paperback
Published in Mar 2015
Publisher Packt
ISBN-13 9781784392611
Length 350 pages
Edition 1st Edition
Languages
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Toc

Using Hadoop


Hadoop is for data processing. You may ask "So are MATLAB, R, Octave, Python (NLTK and many other libraries for data analysis), and SAS, then why Hadoop". They are great tools, but they are good for data that can fit in memory. It means that you can churn a couple of GBs to maybe 10s of GBs, and the rate of processing depends on the CPU on that machine, maybe 16 cores. This poses a big restriction. The data is no more in GB limits at the Internet scale. In the age of billions of mobile phones (there were an estimated 7.7 billion mobile users at the end of 2014, source: http://mobithinking.com/mobile-marketing-tools/latest-mobile-stats/a#subscribers), we are generating humongous amounts of data every second (Twitter reports 143,199 tweets per second, source: http://dazeinfo.com/2014/04/29/7-7-billion-mobile-devices-among-7-1-billion-world-population-end-2014/) by checking in places, tagging photos, uploading videos, commenting, messaging, purchasing, dining, running (fitness...

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