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Data science is sexy; data engineering is marriage material

3AG Systems

Davenport and DJ Patil addressing this question, which they first posed in 2012. When the Data Scientist role “was relatively new” in 2012, the authors observed that “as more companies attempted to make sense of big data, they realized they needed people who could combine programming, analytics, and experimentation skills.”

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Sisense for Cloud Data Teams: a Step Forward for Builders Everywhere

Sisense

Nearly eight years ago, I joined my friend and Periscope Data co-founder Tom O’Neill (now Sisense Chief Cloud Officer) on a journey to build an advanced analytics platform that empowered data teams to build amazing new things. A vision for builders. To reinforce that cohesion, we renamed Periscope Data as Sisense for Cloud Data Teams.

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Defining data science in 2018

Data Science and Beyond

I got my first data science job in 2012, the year Harvard Business Review announced data scientist to be the sexiest job of the 21st century. As I was wrapping up my PhD in 2012, I started thinking about my next steps. Things have changed considerably since 2012. What do I actually do here?

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Unintentional data

The Unofficial Google Data Science Blog

This post describes the analytical issues which arise in such a setting, and what the data scientist can do about them. We data scientists now have access to tools that allow us to run a large numbers of experiments, and then to slice experimental populations by any combination of dimensions collected.