Tag Twitter

Ad Fraud Science with Augustine Fou

http://traffic.libsyn.com/sedaily/AugustineFou.mp3Podcast: Play in new window | Download Advertising fraud continues to plague the Internet. We do not know the scope and scale of that fraud. How many ads on the Internet are viewed by bots? Estimations range from 2% to 99%. Advertisers are slowly becoming more educated about fraud, thanks in part to Dr. Augustine Fou. Dr. Fou is a full-time advertising fraud researcher. He looks at data sets of

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Scaling Twitter with Buoyant.io’s William Morgan

http://traffic.libsyn.com/sedaily/Bouyant_Edited.mp3Podcast: Play in new window | Download Six years ago, Twitter was experiencing outages due to high traffic. Back in 2010 Twitter was built as a monolithic Ruby on Rails application. Twitter migrated to a microservices architecture to fix these problems. During this migration, the engineers at Twitter learned how to build and scale highly distributed microservice architectures. William Morgan was an engineer at Twitter during that time, and he

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Applied Data Science with Edwin Chen

“A lot of data science teams – if you ask them what their ten most important questions are… a lot of people can’t even come up with those.”

Many companies find themselves drowning in data. The quantity of data matters far less than the right questions in the pursuit of actionable insights.

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