Why Big Data projects are challenging – and why I love it


During my professional carrier, I was managing several IT projects, mainly in the distributed systems environment. Initially, these projects were cloud projects, that were rather easy. I worked with IT departments in different domains/industries and we all had the same level of “vocabulary”. When talking with IT staff, it is clear that all use the same terms to describe “things”. No special explanation is needed. I soon realized that Big Data projects are VERY different to that. I wrote several posts on Big Data challenges in the last month and the requirements for data scientists and alike. What I am always coming across when managing Big Data projects is the different approach one have to select when (successfully) managing these kind of projects. Let me first start by explaining what I am doing. First of all, I don’t code, implement or create any kind of infrastructure. I work with senior (IT) staff to talk about ideas which will eventually be

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