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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...

Legacy Modernization: Look to the Cloud and Open Systems

Legacy Modernization: Look to the Cloud and Open Systems

On the surface, mainframe architecture seems relatively simple: A...

Still keeping your hybrid power systems indoors?  It’s time for change.

Still keeping your hybrid power systems indoors? It’s time for change.

Mobile telecommunications network equipment is expected to work without...

As the Network Changes, Engineers Are Embracing the DevOps Model

As the Network Changes, Engineers Are Embracing the DevOps Model

Businesses that have embraced digital transformation with a clear...

Top 5 Myths About Big Data

September 4, 2012 No Comments

Brian Gentile is the CEO of Jaspersoft, a commercial open source business intelligence software company. Folllow him @BrianG_Jasper .

With the amount of hype around Big Data it’s easy to forget that we’re just in the first inning. More than three exabytes of new data are created each day, and market research firm IDC estimates that 1,200 exabytes of data will be generated this year alone.

The expansion of digital data has been underway for more than a decade and for those who’ve done a little homework, they understand that Big Data references more than just Google, eBay, or Amazon-sized data sets. The opportunity for a company of any size to gain advantages from Big Data stem from data aggregation, data exhaust, and metadata — the fundamental building blocks to tomorrow’s business analytics. Combined, these data forces present an unparalleled opportunity.

Yet, despite how broadly Big Data is being discussed, it appears that it is still a very big mystery to many. In fact, outside of the experts who have a strong command of this topic, the misunderstandings around Big Data seem to have reached mythical proportions. Here are the top five myths.

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