Inside the Briefcase

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...

White Paper: Big Data – Beyond the Hype

December 27, 2012 No Comments

“Big data” is a big buzz phrase in the IT and business world right now – and there are a dizzying array of opinions on just what these two simple words really mean.

Technology vendors in the legacy database or data warehouse spaces say “big data” simply refers to a traditional data warehousing scenario involving data volumes in either the single or multi-terabyte range. Others disagree: They say “big data” isn’t limited to traditional data warehouse situations, but includes real-time or operational data stores used as the primary data foundation for online applications that power key external or internal business systems.

This paper examines the growing prevalence of big data across nearly every industry; explains why being good at using and understanding big data is critical for firms that want to compete in their chosen market; and details how businesses can use DataStax Enterprise—a solution specifically designed to manage big data easily and effectively—to exploit the benefits derived from handling big data smartly.

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