O'Reilly Data Show Podcast cover logo

What data scientists and data engineers can do with current generation serverless technologies

36m · O'Reilly Data Show Podcast · 11 Apr 15:30

In this episode of the Data Show, I spoke with Avner Braverman, co-founder and CEO of Binaris, a startup that aims to bring serverless to web-scale and enterprise applications. This conversation took place shortly after the release of a seminal paper from UC Berkeley (“Cloud Programming Simplified: A Berkeley View on Serverless Computing”), and this […]

The episode What data scientists and data engineers can do with current generation serverless technologies from the podcast O'Reilly Data Show Podcast has a duration of 36:32. It was first published 11 Apr 15:30. The cover art and the content belong to their respective owners.

More episodes from O'Reilly Data Show Podcast

Machine learning for operational analytics and business intelligence

In this episode of the Data Show, I speak with Peter Bailis, founder and CEO of Sisu, a startup that is using machine learning to improve operational analytics. Bailis is also an assistant professor of computer science at Stanford University, where he conducts research into data-intensive systems and where he is co-founder of the DAWN […]

Machine learning and analytics for time series data

In this episode of the Data Show, I speak with Arun Kejariwal of Facebook and Ira Cohen of Anodot (full disclosure: I’m an advisor to Anodot). This conversation stemmed from a recent online panel discussion we did, where we discussed time series data, and, specifically, anomaly detection and forecasting. Both Kejariwal (at Machine Zone, Twitter, […]

Understanding deep neural networks

In this episode of the Data Show, I speak with Michael Mahoney, a member of RISELab, the International Computer Science Institute, and the Department of Statistics at UC Berkeley. A physicist by training, Mahoney has been at the forefront of many important problems in large-scale data analysis. On the theoretical side, his works spans algorithmic […]

Becoming a machine learning practitioner

In this episode of the Data Show, I speak with Kesha Williams, technical instructor at A Cloud Guru, a training company focused on cloud computing. As a full stack web developer, Williams became intrigued by machine learning and started teaching herself the ML tools on Amazon Web Services. Fast forward to today, Williams has built […]

Labeling, transforming, and structuring training data sets for machine learning

In this episode of the Data Show, I speak with Alex Ratner, project lead for Stanford’s Snorkel open source project; Ratner also recently garnered a faculty position at the University of Washington and is currently working on a company supporting and extending the Snorkel project. Snorkel is a framework for building and managing training data. […]

Every Podcast » O'Reilly Data Show Podcast » What data scientists and data engineers can do with current generation serverless technologies