Do we sacrifice privacy for the promise of big data? Finding a proper trade-off between the benefits of big data and requirements of privacy regulations is becoming a critical area of information governance.
Even though holistic analysis of multiple sources of information for decision making is
Big data environments create significant opportunities along with security challenges. There are risks and threats to the repositories containing data, much of which is financial, personal, intellectual property or sensitive data and subject to compliance regulations. Learn tips on how to secure
Annual predictions are like relatives at a cocktail party: once you introduce them, you never know if they’ll flatter or embarrass you. But that doesn’t stop thought leaders, analysts and other subject matter experts from laying their reputations on the line every year for our education. Here is a
In the first ever Gartner Magic Quadrant for Data Masking, IBM InfoSphere Optim Data Privacy Solution was named a leader, receiving the best ranking in the ability to execute and completeness of vision categories compared to competitors.
Will this be the year of the “big data hybrid”? What will become of cross-scale architectures and next best action? Will governance finally take center stage? And will data scientists still be sexy? James Kobielus looks at all this and more in his predictions for 2013.