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The MAD Podcast with Matt Turck

Trino, Iceberg and the Battle for the Lakehouse | Justin Borgman, CEO, Starburst

Jan 30, 2025
Justin Borgman, CEO of Starburst, leads his company in transforming data analytics with the open-source project Trino. He shares insights into the evolution from data lakes to lakehouses, emphasizing the importance of open formats like Iceberg for efficient data storage. Justin discusses how Starburst balances on-prem and cloud solutions to cater to diverse enterprise needs. He also highlights the critical role of AI in modern applications and how community engagement has fueled Trino’s success in a competitive landscape.
01:06:24

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • Lakehouse architecture combines the strengths of data lakes and warehouses, enabling enhanced performance and scalability in data handling.
  • Starburst distinguishes itself in the cloud data ecosystem with hybrid solutions that support open formats and federated querying across multiple data sources.

Deep dives

The Evolution of Lake Houses and Data Architecture

The podcast discusses the importance of lake house architecture in contemporary data handling strategies. Lake houses merge the capabilities of traditional data warehouses and data lakes, providing the flexibility of the former while capitalizing on the scalability of the latter. The discussion emphasizes how lake houses have evolved significantly over the past 15 years, with advancements in performance and functionality closing the gap between data warehouses and lakes. The guest highlights how companies are increasingly adopting open formats like Apache Iceberg, which represents a shift toward more accessible data storage and processing systems.

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