Archive for the ‘Flash Storage’ Category

Building Web Apps Using Flask and Neo4j [O’Reilly Market Pricing For Content?]

Saturday, January 16th, 2016

Building Web Apps Using Flask and Neo4j

When I first saw this on one of my incoming feeds today I thought it might be of interest.

When I followed the link, I found an O’Reilly video, which broke out to be:

25:23 free minutes and 133:01 minutes for $59.99.

Rounding down that works out to about $30/hour for the video.

When you compare that to other links I saw today:

What is the value proposition that sets the price on an O’Reilly video?

So far as I can tell, pricing for content on the Internet is similar the pricing of seats on airlines.

Pricing for airline seats is beyond “arbitrary” or “capricious.” More akin to “absurd” and/or “whatever a credulous buyer will pay.”

Speculations on possible pricing models O’Reilly is using?

Suggestions on a viable pricing model for content?

Speeding Up Big Data

Wednesday, February 5th, 2014

Novel Storage Technique Speeds Big Data Processing by Tiffany Trader.

From the post:

Between the data deluge and the proliferation of uber-connected devices, the amount of data that must be stored and processed has exploded to a mind-boggling degree. One commonly cited statistic from Google Chairman Eric Schmidt holds that every two days humankind creates as much information as it did from the dawn of civilization up until 2003.

“Big data” technologies have evolved to get a handle on this information overload, but in order to be useful, the data must be stored in such a way that it is easily retrieved when needed. Until now, high-capacity, low-latency storage architectures have only been available on very high-end systems, but recently a group of MIT scientists have proposed an alternative approach, a novel high-performance storage architecture they call BlueDB (Blue Database Machine) that aims to accelerate the processing of very large datasets.

The researchers from MIT’s Department of Electrical Engineering and Computer Science have written about their work in a paper titled Scalable Multi-Access Flash Store for Big Data Analytics.

See the paper for a low-level view and Tiffany’s post for a high-level one.

BTW, the result of this research, BlueDB, will b e demonstrated at the International Symposium on Field-Programmable Gate Arrays in Monterey, California.

A good time to start thinking about how data structures have been influenced by storage speed.

Is normalization a useful optimization with < 1 billion records? Maybe today, but what about six months from now?

I first saw this in a tweet by Stefano Bertolo.