Imagine you are the race director for a Formula One car. Decisions must be made within seconds, sometimes in the blink of an eye. When speed is of utmost importance, it is necessary for race engineers to have all relevant race data at their fingertips. Instead of having a couple of
Okay, let's say your data is in Hadoop. The distributed, open source framework is configured as it should be across low-cost servers and your data is sitting in those clusters. It's been a meaningful effort to get to this point but how does it benefit your organization? If it's not doing something
In my previous post Sisyphus didn’t need a fitness tracker, I recommended that you only collect, measure and analyze big data if it helps you make a better decision or change your actions. Unfortunately, it’s difficult to know ahead of time which data will meet that criteria. We often, therefore, collect, measure and analyze
