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2017 State of Technology Training

2017 State of Technology Training

Pluralsight recently completed an in-depth survey of 300 enterprises...

IT Briefcase Exclusive Interview: Keeping Your (Manufacturing) Head in the Clouds

IT Briefcase Exclusive Interview: Keeping Your (Manufacturing) Head in the Clouds

with Srivats Ramaswami, 42Q
In this interview, Srivats Ramaswami,...

IT Briefcase Exclusive Interview: New Solutions Keeping Enterprise Business Ahead of the Game

IT Briefcase Exclusive Interview: New Solutions Keeping Enterprise Business Ahead of the Game

with Sander Barens, Expereo
In this interview, Sander Barens...

IT Briefcase Exclusive Interview: The Tipping Point – When Things Changed for Cloud Computing

IT Briefcase Exclusive Interview: The Tipping Point – When Things Changed for Cloud Computing

with Shawn Moore, Solodev
In this interview, Shawn Moore,...

Driving Better Outcomes through Workforce Analytics Webcast

Driving Better Outcomes through Workforce Analytics Webcast

Find out what’s really going on in your business...

Large Scale Analytics in the Enterprise

August 9, 2012 No Comments

SOURCE: Think Big Analytics

The growth of Internet businesses led to a whole new scale of data processing
challenges. Companies like Google, Facebook, Yahoo, Twitter, and Quantcast now
routinely collect and process hundreds to thousands of terabytes of data on a daily basis.
This represents a significant change in the volume of data which can be processed, a
major reduction in processing time required, and of the cost required to store data. The
most important of the techniques used at these companies is storing data in a cluster of
servers and using a distributed data processing technique Google invented, called
MapReduce. Facebook, Yahoo, Twitter, and Quantcast all process data with an open
source technology implementation of MapReduce called Hadoop.

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