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Stephen Brobst of Teradata:
There are four primary reasons that big data projects fail:
- They focus on technology rather than business opportunities.
- They are unable to provide data access to subject matter experts.
- They fail to achieve enterprise adoption.
- The enterprise lacks the sophistication to understand that the project’s total cost of ownership includes people as well as information technology systems.
I tend to disagree with the last 3 points or at least not consider those as primary reasons.
Except the novelty of this new field and thus its inherent challenges of new technologies being used, I don’t think big data projects are any different to other projects. And their failures are caused by the same well known reasons. Maybe the only new one is the unreasonable expectations. But even this one doesn’t seem so new to me.
After receiving my Raspberry Pi, I began to look for a place to plug it into. I’ve always assumed that at least one of my two monitors sitting on my desk had an HDMI port, but I’ve always used DVI. I happened to be wrong— neither of them had HDMI, meaning I had to commandeer a television somewhere else in my house.
I plugged the device into a 55” TV in my living room and booted it up with a 2GB SD card I had prepared earlier and began installing some things that would allow me to run the device headless. This is important, because I do not want to be forced to sit on the floor in front of the TV every time I want to use the Raspberry.