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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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Just One is Not Enough: The Rise of Multi-Cloud

In Cloud by Daniel NewmanLeave a Comment

According to recent research, nearly one-third of all businesses use four or more cloud vendors, and these organizations are more satisfied. Even the combination of one private cloud and one public cloud fails to be enough. As a result, the number of organizations relying on a multi-cloud approach will steadily increase: Researchers say 86 percent of enterprises plan to need …

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Flexible, Scalable Cloud Storage Now, DNA Storage Later

In Cloud by Daniel NewmanLeave a Comment

Consider this: 90 percent of the world’s data was created in the past two years. As the Internet of Things (IoT) continues to evolve—bringing billions more devices and data into the digital sphere—we face a huge potential problem in data storage. Now, that problem is being solved by the cloud. Chances are, your company is already using multiple levels of …

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Is Fog Computing Going to Take Off in 2017? 

In Cloud by Daniel NewmanLeave a Comment

As the Internet of Things transforms into the “internet of everything,” companies are beginning to see some shortcomings in traditional cloud environments. Sending every piece of data to the cloud and back again creates a strain on the system. The solution for faster computing and connectivity may lie in fog computing. Understand Fog and Edge Computing If you compare computing …

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Fog Computing and Business Continuity

In Big Data by Daniel NewmanLeave a Comment

Data storage and processing are moving to the cloud, which means faster, more efficient systems. The ever-growing Internet of Things (IoT) pushes processing even further from center, out to collection points, in a process known as fog computing. Though this will advance analytics and reduce latency, it reincorporates hardware into the equation. Glitches and natural disasters can destroy devices or …