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Hi Everyone,
Good that i got this forum on the second day of my learning itself, not so late!! I have been with Oracle DWH, Informatica, Obiee and siebel for around five years and now seeking a change to Teradata EDW Modelling

In some areas, big data tools, such as Hadoop and HBase, overlap with relational databases and data warehouses. Putting the hyperbole aside, how should you choose when both systems provide analytic value?

I will admit it:  I did not “get” Twitter.  When it first came out, I could understand news organizations and media tweeting information, and well-known personalities tweeting the minutiae of their daily lives.  But I couldn’t understand the draw of the remaining 99% to also publish their lives on a real-time basis.  But my curmudgeonly world filter needs

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

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.

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.