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A central story of the web is how ubiquitous high-speed communication lowered the cost of group creation and led to things we now call web 2.0 and the social web. There is an analogous story happening in data science. The dual innovations of Hadoop and elastic utility computing have dramatically changed the economics of data processing. The impact of these changes will be as profound; we will be grappling with them for many years to come. This talk explores these changes through the lens of several case studies of big data inside Amazon. Join us for a peek inside the unfolding data revolution.
This session is sponsored by Amazon Web Services
John has been extracting value from large datasets for 15 years at companies ranging from hedge funds and data-driven startups to amazon.com. He has deep experience in the areas of personalization, business intelligence, website performance and real-time fault analysis. An empiricist at heart, John’s optimism and can-do attitude make “Just do the experiment!” his favorite call to arms.
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