
Sign up to save your podcasts
Or


Starburst is a data lake analytics platform. It’s designed to help users work with structured data at scale, and is built on the open source platform, Trino.
Adam Ferrari is the SVP of Engineering at Starburst. He joins the show to talk about Starburst, data engineering, and what it takes to build a data lake.
Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from information visualization to quantum computing. Currently, Sean is Head of Marketing and Developer Relations at Skyflow and host of the podcast Partially Redacted, a podcast about privacy and security engineering. You can connect with Sean on Twitter @seanfalconer .
Please click here to see the transcript of this episode.
Watch the video episode here
Sponsorship inquiries: [email protected]
The post Building a Data Lake with Adam Ferrari appeared first on Software Engineering Daily.
By Software Engineering Daily4.4
615615 ratings
Starburst is a data lake analytics platform. It’s designed to help users work with structured data at scale, and is built on the open source platform, Trino.
Adam Ferrari is the SVP of Engineering at Starburst. He joins the show to talk about Starburst, data engineering, and what it takes to build a data lake.
Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from information visualization to quantum computing. Currently, Sean is Head of Marketing and Developer Relations at Skyflow and host of the podcast Partially Redacted, a podcast about privacy and security engineering. You can connect with Sean on Twitter @seanfalconer .
Please click here to see the transcript of this episode.
Watch the video episode here
Sponsorship inquiries: [email protected]
The post Building a Data Lake with Adam Ferrari appeared first on Software Engineering Daily.

271 Listeners

289 Listeners

585 Listeners

289 Listeners

43 Listeners

146 Listeners

988 Listeners

487 Listeners

190 Listeners

182 Listeners

211 Listeners

202 Listeners

64 Listeners

142 Listeners

93 Listeners