Big Data // Big Data Analytics
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5/23/2014
12:00 AM
Lorna Garey
Lorna Garey
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Big Data Brings Big Security Problems

Why should big data be more difficult to secure? In a word, variety. But the business won't wait to use it to predict customer behavior, find correlations across disparate data sources, predict fraud or financial risk, and more.

Big Data Brings Big Security Problems

Lorna Garey is content director of InformationWeek digital media. View Full Bio

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Charlie Babcock
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Charlie Babcock,
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5/23/2014 | 7:12:09 PM
NoSQL has no discrimination at the door
The ability to absorb a wide variety of data types in each NoSQL system makes them more of an open door to malware and security risks. The strongly-typed relatoinal system, in contrast, is harder to fool. I doubt if we've experienced all the possible ramifications of this and increased risk in some respects will be part of the new era.
6 Tools to Protect Big Data
6 Tools to Protect Big Data
Most IT teams have their conventional databases covered in terms of security and business continuity. But as we enter the era of big data, Hadoop, and NoSQL, protection schemes need to evolve. In fact, big data could drive the next big security strategy shift.
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