need to listen to

O’Reilly’s Jenn Webb chats with Andreessen Horowitz general partner Balaji Srinivasan about the bigger picture of bitcoin, liquid markets, and the future of regulation.

More than a currency, bitcoin is an enabling technology

O'Reilly's Mary Treseler chats with AlertMe founder Pilgrim Beart about why the scale of the Internet of Things creates as many challenges as it does opportunities. He also talked about the “gnarly problems” emerging from consumer wants and behaviors.

"Internet of Things" Has Come to Mean Everything, and Therefore Nothing

Alistair Croll chats with musician and performer Amanda Palmer about the current state of the music industry and how she's navigating her way through new platforms, crowdfunding, and an ever-increasing amount of data.

Big Data and the Music Industry: Where's the Romance

In this special holiday episode of the Radar Podcast, we’re featuring a cross-over of the O’Reilly Data Show Podcast, which you can find on iTunes, Stitcher, TuneIn, or SoundCloud. O’Reilly’s Ben Lorica hosts that podcast, and in this episode, he chats with Apache Spark release manager and Databricks co-founder Patrick Wendell about the roadmap of Spark and where it’s headed, and interesting applications he’s seeing in the growing Spark ecosystem.

Patrick Wendell on Spark's Roadmap, Spark R API, and Deep Learning on the Horizon

In this episode of the O’Reilly Programming Podcast, I talk with Ben Evans, co-founder and technology fellow at JClarity, and co-author of the forthcoming O’Reilly book "Optimizing Java: Practical Techniques for Improved Performance Tuning." We discuss the upcoming release of Java 9, Java performance issues, and Evans’ experience as an organizer for the London Java Community.

Ben Evans on Java 9

In this episode of the Data Show, I spoke with Michael Freedman, CTO of Timescale and professor of computer science at Princeton University. When I first heard that Freedman and his collaborators were building a time-series database, my immediate reaction was: “Don’t we have enough options already?” The early incarnation of Timescale was a startup focused on IoT, and it was while building tools for the IoT problem space that Freedman and the rest of the Timescale team came to realize that the database they needed wasn’t available (at least out in open source). Specifically, they wanted a database that could easily support complex queries and the sort of real-time applications many have come to associate with streaming platforms. Based on early reactions to TimescaleDB, many users concur.

need to listen to

Лютобор Недайборщ