“Those who cannot remember the past are condemned to repeat it”1 Way back in the early to mid-1990s, after a number of years of trying to build enterprise-wide data warehouses, a significant subset of the industry concluded that it was just too difficult. The projects took too long. The models were too big; the organizational …Read More
The Integration Dilemma
“When I was small, and Christmas trees were tall”1 and data warehouses were gigabyte-sized, integration was something you prepared months for, broke your budget on and performed in the dead of night. Today, when big data is measured in petabytes and is loosely structured and of dubious cleanliness, you are expected to integrate on demand, preferably …Read More
The Perfect Storm: The Impact of Analytics, Big Data and Cloud
In the early 1960s, Edward Lorenz, the American meteorologist and pioneer of chaos theory suggested that the flapping of a butterfly’s wings in some far-flung jungle could trigger a hurricane on the other side of the world. Lorenz was making two points, the second of which is often missed. The first mathematically observed fact was …Read More