Data Lakehouses, Interoperability, and Accessibility with Tomer Shiran

This episode features an interview with Tomer Shiran, Founder and Chief Product Officer at Dremio. Dremio is a high-performance SQL lakehouse platform that helps companies get more from their data in the fastest way possible. Prior to Dremio, Tomer served as VP of Product at MapR and also held product management and engineering roles at Microsoft and IBM Research. He also has a master’s degree from Carnegie Mellon University as well as a bachelor’s from Technion - Israel Institute of Technology. In this episode, Tomer and Sam dive into the economics of storing data, how to build an open architecture, and what exactly a data lakehouse is.

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What can we learn from ai-native development through stimulating conversations with developers, regulators, academics and people like you that drive forward development, seek to understand impact, and are working to mitigate risk in this new world? Join Charna Parkey and the community shaping the future of open source data, open source software, data in AI, and much more.