rugby

Why Business Intelligence fails

The opening round of Super Rugby this last week end was a classic example of how business intelligence fails. Predicting the first round of any sporting event is always a bit of a gamble – largely because one is looking at historical data. In many cases this can be a sound strategy. In the absence of…

Rhodes University

On data management education

I have recently returned from a trip to Grahamstown where I had the opportunity to visit the the Rhodes University IS department It has been over twenty years since I graduated and I was curious to see how the curriculum has changed. In particular, I was curious to uderstand how data management is catered for…

Bury your head in the sand

Big Data: Time to Vorget about the 3 V’s?

Almost any definition of big data is based on Doug Laney’s original preposition of the 3 V’s – Velocity (the data is growing rapidly), Variety( the data comes from many sources – both structured and unstructured) and Volume (the data is big). For example, Gartner defines big data as “high volume, high velocity, and/or high…

Why Hadoop

Hadoop: Quick Facts

Hadoop is a highly scalable, NoSQL database used to perform high speed analytics against large volumes of data. Hadoop works on the principle of schema on read, not schema on write. Any data (structured or unstructured) can be stored in Hadoop with out developing a schema. This cuts the development time scales, reduces risk complexity…

Attack_on_Pearl_Harbor_Japanese_planes_view

Preconceived ideas lead to big data failures!

7 December 2014 is the 53rd anniversary of the Japanese attack on the US Naval base at Pearl Harbour that brought the United States into the Second World War. It is Sunday – just as it was 53 years ago. The attack saw the Japanese strike a significant blow against the US Pacific fleet sinking…