One of the problems managing data science or even development projects is that due to its usual complexity, they can be harder to manage. If you're working with manual tasks, its easy to say "We need

Two years ago, I was invited to a $300m start-up to advise them on choosing the proper "big data technology". We managed to find the proper technology for their "expressed" needs. However,