It was the deadliest string of shark attacks the world has ever seen. In 2011, sharks in Réunion, a beautiful island, way out in the Indian Ocean started biting people way more than ever before and with lunatic violence. The epidemic forced local surfers, politicians, and business owners into a proxy war with ocean lovers and conservationists worldwide, where long simmering tensions boiled over. Réunion: Shark Attacks in Paradise is the story of what happened on this beautiful island, and t ...
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Unlocking Faster Data-Driven Analytics - CitC Episode 246
Manage episode 295595862 series 1180916
Content provided by Intel Corporation. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Intel Corporation or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Ahana cofounder and CEO Steven Mih joins host Jake Smith to talk about why he started Ahana, which centers around open source data tools. Steven discusses how Presto—an open source distributed SQL query engine—was originally developed by Facebook and then donated to the Linux Foundation. Jake and Steven note how only 10-12% of data has been analyzed within most companies and explain the valuable opportunities that can arise when greater insight is unlocked from data lakes. Steven goes into detail about why Ahana works with Intel-based AWS instances to deliver faster data-driven analytics and what the future of the industry might hold. For more information, visit: https://ahana.io/intel Follow Jake on Twitter at: https://twitter.com/jakesmithintel
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296 episodes
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Manage episode 295595862 series 1180916
Content provided by Intel Corporation. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Intel Corporation or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Ahana cofounder and CEO Steven Mih joins host Jake Smith to talk about why he started Ahana, which centers around open source data tools. Steven discusses how Presto—an open source distributed SQL query engine—was originally developed by Facebook and then donated to the Linux Foundation. Jake and Steven note how only 10-12% of data has been analyzed within most companies and explain the valuable opportunities that can arise when greater insight is unlocked from data lakes. Steven goes into detail about why Ahana works with Intel-based AWS instances to deliver faster data-driven analytics and what the future of the industry might hold. For more information, visit: https://ahana.io/intel Follow Jake on Twitter at: https://twitter.com/jakesmithintel
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Similar to Intel CitC
It was the deadliest string of shark attacks the world has ever seen. In 2011, sharks in Réunion, a beautiful island, way out in the Indian Ocean started biting people way more than ever before and with lunatic violence. The epidemic forced local surfers, politicians, and business owners into a proxy war with ocean lovers and conservationists worldwide, where long simmering tensions boiled over. Réunion: Shark Attacks in Paradise is the story of what happened on this beautiful island, and t ...
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continue reading
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…
continue reading
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…
continue reading
Veteran journalist Joe Nocera’s neighbor in the Hamptons was a therapist named Ike. Ike counted celebrities and Manhattan elites as his patients. He’d host star-studded parties at his eccentric vacation house. But one summer, Joe discovered that Ike was gone and everything he’d thought he’d known about his neighbor -- and the house next door -- was wrong. From Wondery, the company behind Dirty John and Dr. Death, and Bloomberg, “The Shrink Next Door” is a story about power, control and turni ...
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Personally connecting the dots. All of them. Benjamen Walker’s Theory of Everything is a proud member of Radiotopia, from PRX. Learn more at radiotopia.fm.
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