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Ironclad SaaS Security for Cloud-Forward Enterprises

Ironclad SaaS Security for Cloud-Forward Enterprises

The 2015 Anthem data breach was the result of...

The Key Benefits of Using Social Media for Business

The Key Benefits of Using Social Media for Business

Worldwide, there are more than 2.6 billion social media...

Gartner IT Sourcing, Procurement, Vendor and Asset Management Summit 2018, September 5 – 7, in Orlando, FL

Gartner IT Sourcing, Procurement, Vendor and Asset Management Summit 2018, September 5 – 7, in Orlando, FL

Register with code GARTITB and save $350 off the...

Infographic: The Three Pillars of Digital Identity: Trust, Consent, Knowledge

Infographic: The Three Pillars of Digital Identity: Trust, Consent, Knowledge

8,434 adults were surveyed to gauge consumer awareness of...

FICO Scales with Oracle Cloud

FICO Scales with Oracle Cloud

Doug Clare, Vice President at FICO, describes how Oracle...

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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