Robin Harris

Robin Harris is Chief Analyst at TechnoQWAN LLC, a storage research and consulting firm he founded in 2005. Based in Sedona, Arizona, TechnoQWAN focuses on emerging technologies, products, companies and markets. Robin has over 35 years experience in the IT industry and earned degrees from Yale and the University of Pennsylvania's Wharton School.

Ricardo Bilton

Ricardo Bilton writes for ZDNet's The ToyBox.

Latest Posts

A private geo-cloud for the rest of us

A private geo-cloud for the rest of us

Could you use a private, multi-location cloud with no recurring fees, automatic syncing, versioning, and access controls? Think a dead-simple Dropbox, without the security issues — and a sustainable business model.

published October 23, 2014 by

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Apple's write-only storage

Apple's write-only storage

Why would you store data that you can't read? To keep it secret. The first rule of secrets: Don't tell anyone. Exactly what Apple does. Here's how and why.

published October 7, 2014 by

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1¢ storage for the enterprise

1¢ storage for the enterprise

Google shocked the storage world by offering cloud storage for 1¢/GB/month 6 months ago. But if Google can make a profit at 1¢, why can't enterprises buy for the same price? One company says they can. How?

published September 30, 2014 by

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How would molecular storage work?

How would molecular storage work?

Disk drives and flash use nanotechnology to build higher density storage. But why not simply encode data directly into molecules? We could cram a billion gigabytes in a single rack. Here's how.

published September 29, 2014 by

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Are you on top of social media data?

Are you on top of social media data?

In a recent survey 20 percent of companies had to use social media data in litigation or an investigation — a number bound to rise. The time to get ready is NOW! Here's quick intro to get you started.

published September 8, 2014 by

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Samsung's new 3D TSV DDR4 DIMMs

Samsung's new 3D TSV DDR4 DIMMs

If the power savings and performance claims pan out, these DIMMs will be popular in large memory applications — VM servers, in-memory databases — where DRAM power is a significant cost and more performance is always welcome.

published August 27, 2014 by

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