Schumpeter’s blog had (yet another) interesting entry a couple of weeks back:  “Now for some good news.”  It reviews a couple of authors’ view that we are on the cusp of future abundance due to upcoming technical breakthroughs.  The four drivers of the future are listed as the:

3D printing hit the cover of The Economist last month.  It is now “officially” having a major impact on business and, as of result, on the required analytics and underlying data warehouse structures to support the analytics

I finally caught up on my reading over the holidays – funny what 12 hours of captivity in coach will do – and I highly recommend the November 6, 2010 special report from The Economist on Smart Systems. 

When I presented at the Teradata Partners conference on the subject of Long Tails and Black Swans in 2008, one of the anecdotal stories I told was about online specialty diaper purchases in Germany.  I was amazed that online stores could compete with the brick and mortar outlets on goods with such low margins, including the additional shipping costs.  Wel

Nice article today in the NY Times on 3-D Printing, one of the enablers of the Long Tail concept for manufacturing.

The Wall Street Journal is running a series, “What They Know,” this week on Web privacy.

What caught my eye was today’s article on Web analytics, “On the Web's Cutting Edge, Anonymity in Name Only.”  A quote from the article, “firms like [x+1] tap into vast databases of people's online behavior—mainly gathered surreptitiously by tracking technologies that have become ubiquitous on websites across the Internet. They don't have people's names, but cross-reference that data with records of home ownership, family income, marital status and favorite restaurants, among other things. Then, using statistical analysis, they start to make assumptions about the proclivities of individual Web surfers.”

Following up on the outside influences that will drive EDW growth, we have a couple of articles on the exponential (Hmmm… remember this adjective from the late 90’s during the tech boom?) growth of internet connections.

This blog was started to discuss Chris Anderson’s Long Tail concepts and how they relate to Enterprise Data Warehouse (EDW) implementations. Well… Mr.

As logistics become less expensive, more instantaneous, and support a greater variety of goods, the long tail category of "candidate products" continues to expand. For example, 3-D printers.

I’m going to catch up on some of my reading from over the summer. The common theme in this entry on the unabated explosion of data, even when it seems that some industries are scaling back.

First, we have a couple of articles from The Economist which IMHO is the world news magazine for nerds :-). From last June’s technology quarterly, we have two articles: "Sensors and Sensitivity" and "The Connected Car".

One of the first areas I explored when considering the long tail’s impact on EDW was the growth in data storage requirements. Supporting the long tail impacts the overall EDW storage requirements in two ways: width (expansion of the data model) and depth (more history). Let us look at one common subject area for all enterprises: Party (customer).

In this blog we ask the question, “How do the Long Tail concept and Black Swan events relate to and impact the Enterprise Data Warehouse and Active Enterprise Intelligence?” This blog will be a discussion platform for the Data Warehouse disruptions caused by these concepts and how to accommodate them.