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Over the past few weeks, we’ve had several conversations in our data lab regarding data engineering problems and day to day problems we face with unsupervised data scientists who find it difficult to deploy their code into production.
Fig. Dream team? Einstein, Fisher, Tufte and Jobs
How does the typical data science project life-cycle look like?
This post looks at practical aspects of implementing data science projects. It also assumes a certain level of maturity in big data (more on big data maturity models in the next post) and data science management within the organization. Therefore the life cycle presented here differs, sometimes significantly from purist definitions of 'science' which emphasize the…Continue
The outsourcing model which led to the “on-demand” “as a service” model, has taken off with increasing adoption of cloud-computing and mobility. What started out with the SaaS – software as a service model, has now diversified into several other services.
Indeed, cloud computing has come to rest on three of these as its core pillars: