The Right (big data) Tool for the Job with Jay Shankar
Data Skeptic7 Heinä 2014

The Right (big data) Tool for the Job with Jay Shankar

In this week's episode, we discuss applied solutions to big data problem with big data engineer Jay Shankar. The episode explores approaches and design philosophy to solving real world big data business problems, and the exploration of the wide array of tools available.

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Emoji as a Predictor

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Emojis are arguably one of the most effective ways to express emotions when texting. In today's episode, Xuan Lu shares her research on the use of emojis by developers. She explains how the study of e...

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Polarizing Trends in the Gig Economy

Polarizing Trends in the Gig Economy

On the show today, Fabian Braesemann, a research fellow at the University of Oxford, joins us to discuss his study analyzing the gig economy. He revealed the trends he discovered since remote work bec...

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Remote Learning in Applied Engineering

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Remote Productivity

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Does Remote Learning Work?

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We explore this complex question in two interviews today.  First, Kasey Wagoner describes 3 approaches to remote lab sessions and an analysis of which was the most instrumental to students.  Second, T...

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Covid-19 Impact on Bicycle Usage

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In this episode, we speak with Abdullah Kurkcu, a Lead Traffic Modeler. Abdullah joins us to discuss his recent study on the effect of COVID-19 on bicycle usage in the US. He walks us through the data...

25 Huhti 202231min

Learning Digital Fabrication Remotely

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Today, we are joined by Jennifer Jacobs and Nadya Peek, who discuss their experience in teaching remote classes for a course that is largely hands-on. The discussion was focused on digital fabrication...

22 Huhti 202233min

Remote Software Development

Remote Software Development

Today, we are joined by Denae Ford, a Senior Researcher at Microsoft Research and an Affiliate Assistant Professor at the University of Washington. Denae discusses her work around remote work and its ...

18 Huhti 202237min

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