Robin Harris

Contributor

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.

Robin Harris is a president of TechnoQWAN, a consulting and analyst firm in Sedona, Arizona. He also writes StorageMojo.com, a blog which accepts advertising from companies in the storage industry, and has a 30 year history with IT vendors. He has many industry contacts, many of whom are friends and all of whom he has opinions about. Robin has relationships with many companies in the technology industry. Every company he writes about may have sought to influence his opinion through carefully-crafted marketing messages and self-serving white papers, gifts ranging from desk calendars, t-shirts, lunches and trips as well as analyst or consulting assignments. He also invests in some technology companies. Robin discloses financial investments in or client relationships with companies named in Storage Bits. To help readers sort out the gold from the dross in his writings, Robin tries to communicate his reasons as clearly as he can. If you agree, you are intelligent and discerning. If you disagree, well, you disagree. In all cases, Robin encourages readers to subject everything they read, see or hear on the internet or from politicians to some simple questions: * What assumptions are implicit in the world view and judgments of the author? * What, if any, is the factual basis for the opinions the author expresses? * Is it reasonable, logical and clear? Your critical faculties: use ‘em or lose ‘em!

Latest from Robin Harris

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Running Hadoop on a Raspberry Pi 2 cluster

Running Hadoop on a Raspberry Pi 2 cluster

Last week I wrote about a 300 node cluster using Raspberry Pi (RPi) microcomputers. But can you do useful work on such a low-cost, low-power cluster? Yes, you can. Hadoop runs on massive clusters, but you can also run it on your own, highly-scalable, RPi cluster.

October 6, 2017 by

Building a 300 node Raspberry Pi supercomputer

Building a 300 node Raspberry Pi supercomputer

Commodity hardware makes possible massive 100,000 node clusters, because, after all, commodity hardware is "cheap" -- if you're Google. What if you want a lot of cycles but don't have a few million dollars to spend? Think Raspberry Pi.

September 29, 2017 by

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