Inside the Briefcase

Women in Tech Boston

Women in Tech Boston

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IT Briefcase Interview: Simplicity, Security, and Scale – The Future for MSPs

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How Square Improves Shareholder Engagement and Enhances Overall IR Efforts with Actionable Insights 

How Square Improves Shareholder Engagement and Enhances Overall IR Efforts with Actionable Insights 

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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.

Click here to view this white paper

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