The business world continues to evaluate and implement the cloud for some of its IT requirements. The concept of the cloud as a viable IT storage solution as well as a way to cut costs is gaining momentum. But it might prompt the question: is the cloud the right place for a data warehouse?
This is an interesting question for many, and a problematic question for some.
We’ve all read the articles where someone with a massive data set unleashes the power of Big Data and discovers an awesome and magical insight about their customers that changes the course of history as we know it. We like to call them Magical Big Data Unicorns—so frequently discussed and pursued, but so rarely seen in the wild! We’re not saying they don’t exist, but we would like to suggest a better approach to getting solid ROI from these new-fangled Big Data tools.
Companies are being pressured on multiple fronts to do something amazing with Big Data. But should the brakes be applied, even slightly, to consider some lessons from the past? Historically, large data warehouse projects failed at surprisingly high rates. How do we learn from these collective past mistakes and increase the odds that Big Data efforts will provide Big Returns?
