Hadoop Poses a Big Data Security Risk: 10 Reasons Why

 
 
By Chris Preimesberger  |  Posted 2013-04-23 Email Print this article Print
 
 
 
 
 
 
 
 

Information is power, and more and more enterprise IT professionals are tapping into the power of big data to better understand what drives their businesses. In the meantime, the information keeps piling up, as data volumes are doubling annually. And roughly 80 percent of that captured data is unstructured and must be formatted using a batch-processing platform such as Hadoop in order to be minable for information. Enterprises want to tap into the important insights that can be gleaned from their data stockpiles, but there is a large caveat: Hadoop was not created with security in mind. In fact, security was an afterthought. As Hadoop becomes more widely adopted in the enterprise, its security limitations are becoming more exposed. This eWEEK slide show covers the biggest security challenges the enterprise now faces regarding big data. Our sources include Brian Christian, co-founder and CTO of secure big data management startup Zettaset; Hadoop distribution provider Cloudera; and eWEEK storage and security reporting.

 
 
 

Hadoop Poses a Big Data Security Risk: 10 Reasons Why

by Chris Preimesberger

Hadoop Poses a Big Data Security Risk: 10 Reasons Why
 
 
 
 
 
 
 
 
 
 
 

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