The first task is to develop a plan (sounds different so far,
doesn’t it). I’m assuming you will need to get approval for
spending time and money on this activity and so some management or
governance process applies. Often the first steps into the world of
Big Data are taken in an Advanced Analytics, Research or Innovation
group - who are tasked with finding new analytical techniques to
increase sales, identify fraud or reduce costs.
I read this on the Teradata blog and it made me realize again why Hadoop is so successful despite its complexity. It allows experimenting and trying out new ideas, while continuing to accumulate and storing your data. It removes the pressure from the developers. That’s agility. It’s highly appreciated.
Original title and link: How to Plan for Big Data: Waterfall vs Agile ( ©myNoSQL)