A lot of great pieces have been written about the (relatively) recent surge in interest in “big data” and "data science", but in this piece I want to address the importance of deep data analysis: what we can learn from the statistical outliers by drilling down and asking, “What’s different here? What’s special about these outliers and what do they tell us about our models and assumptions?”
Just what is Facebook buying? Here's a quick gloss I did a little over a year ago on a presentation Instagram gave on their architecture. In that article I called Instagram's architecture the "canonical description of an early stage startup in this era."
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The White House Big Data Research and Development Initiative addresses the need for data science in the military, biomedicine, computers, and the environment to advance. Read this blog post by Martin LaMonica on Cutting Edge.