Inside the Briefcase

How to Best Utilise Analytics in all its Forms

How to Best Utilise Analytics in all its Forms

Analytics is one of the most indispensable tools any...

2016 APM Reference Guide: Application Performance Monitoring

2016 APM Reference Guide: Application Performance Monitoring

IT Briefcase Analyst Report
This product guide allows you to...

IT Briefcase Exclusive Interview: Top IoT Trends and Predictions for Organizations in 2016

IT Briefcase Exclusive Interview: Top IoT Trends and Predictions for Organizations in 2016

with Mike Martin, nfrastructure
In this interview, Mike Martin,...

Unleash the Power of Global Content

Unleash the Power of Global Content

globeYour business depends on pushing accurate and dynamic content...

Clicking Away Your Right to Privacy

Clicking Away Your Right to Privacy

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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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