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DataStax and the Future of Real-Time Data Applications with Jonathan Ellis

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Manage episode 450946224 series 1418208
Content provided by Podcast Archives - Software Engineering Daily. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Podcast Archives - Software Engineering Daily 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://podcastplayer.com/legal.

DataStax is known for its expertise in scalable data solutions, particularly for Apache Cassandra, a leading NoSQL database. Recently, the company has focused on enhancing platform support for AI-driven applications, including vector search capabilities.

Jonathan Ellis is the Co-founder of DataStax. He maintains a technical role at the company and has recently worked on developing their vector search product. Jonathan joins the show to talk about his passion for being in a technical role, where AI fits into the DataStax platform, developing vector search, and he also reflects on his gradual adoption of AI into his workflows, and where he thinks AI development is headed in the coming years.

Full Disclosure: This episode is sponsored by Datastax.

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.

Sponsorship inquiries: [email protected]

The post DataStax and the Future of Real-Time Data Applications with Jonathan Ellis appeared first on Software Engineering Daily.

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872 episodes

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iconShare
 
Manage episode 450946224 series 1418208
Content provided by Podcast Archives - Software Engineering Daily. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Podcast Archives - Software Engineering Daily 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://podcastplayer.com/legal.

DataStax is known for its expertise in scalable data solutions, particularly for Apache Cassandra, a leading NoSQL database. Recently, the company has focused on enhancing platform support for AI-driven applications, including vector search capabilities.

Jonathan Ellis is the Co-founder of DataStax. He maintains a technical role at the company and has recently worked on developing their vector search product. Jonathan joins the show to talk about his passion for being in a technical role, where AI fits into the DataStax platform, developing vector search, and he also reflects on his gradual adoption of AI into his workflows, and where he thinks AI development is headed in the coming years.

Full Disclosure: This episode is sponsored by Datastax.

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.

Sponsorship inquiries: [email protected]

The post DataStax and the Future of Real-Time Data Applications with Jonathan Ellis appeared first on Software Engineering Daily.

  continue reading

872 episodes

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