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Big Data, Great Potential: Why We Need to Do More with Big Data

In Big Data by Marina Erulkar1 Comment

“Everything comes back to Big Data.” This was a network security consultant’s conclusion. He was telling me about an international retailer’s data breach. The retailer had warnings that a breach was imminent. However, those warnings were lost among the millions of ultimately benign but undifferentiated notices of possible attack. What was missing, my friend concluded, was some type of signal …

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Capitalizing on Real-Time Data Streaming

In Big Data by Daniel NewmanLeave a Comment

In the business world, there’s nothing more frustrating than putting all your efforts—and resources—into implementing a data-backed decision, only to find that in the time it took to analyze the data, a new trend had already emerged. In the fast-paced world of digital transformation, that’s an increasingly common phenomenon—which is why real-time data streaming is such an important development. How …

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Data Storage: The Need for Flexibility and Scalability

In Big Data by Daniel NewmanLeave a Comment

If you feel like you’ve got your head in the clouds these days, you’re not alone. In the last few years, 60 percent of businesses say they’ve set aside funds for additional storage space to help manage the immense amount of data being created every day within their markets. That includes public and private clouds, which generally offer agility and …

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Millennials Driving Big Data Adoption

In Big Data by Daniel NewmanLeave a Comment

Millennials are changing our world, through sheer numbers and through sheer force of will. As a generation that has grown up with technology, smartphones, and search engines, Millennials are also responsible for driving technological development—and now even the use of Big Data. Despite the promises, Big Data has been slow to become the game changer it was predicted to be. …