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Viktor Kessler

Co-founder of Vakamo, creator of the open-source Lakekeeper Apache Iceberg catalog; expert in lakehouse architecture, data governance, and making metadata actionable.

Top 3 podcasts with Viktor Kessler

Ranked by the Snipd community
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13 snips
Sep 15, 2025 • 58min

#2: Lakehouses Without Borders — Agnostic Data ft. Viktor Kessler (Co-Founder, ‬Vakamo)

Viktor Kessler, Co-founder of Vakamo and expert in data systems, dives into the world of data agnostic lakehouses. He discusses how these architectures enhance flexibility and interoperability, making migration between systems less daunting. The conversation also highlights Iceberg's rising prominence in data storage, offering an open-source alternative. Kessler shares insights on modern data access control and metadata management, stressing the importance of aligning data strategies with business goals to avoid vendor lock-in.
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9 snips
May 16, 2025 • 34min

243: The Data Economy: Turning Information into a Tradable Commodity with Viktor Kessler of Vakamo

Viktor Kessler, Co-founder of Vakamo and innovator behind Lake Keeper, shares insights from his journey in data. He discusses the evolution of data architectures and the transformative lakehouse concept, highlighting the importance of decentralization and open-source innovation. Viktor delves into the monetization of data and governance challenges in decentralized systems, emphasizing security concerns and the impacts on data consumers. He also touches on optimizing data tables for improved performance, envisioning data as a tradable commodity in the modern economy.
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Oct 29, 2025 • 34min

Re-Air: The Data Economy: Turning Information into a Tradable Commodity with Viktor Kessler of Vakamo

Viktor Kessler, co-founder of Vakamo and expert in lakehouse architecture, shares his insights on the evolution of data management. He discusses the transition from rigid data warehouses to flexible lakehouses, highlighting how Apache Iceberg enhances data governance and sharing. Viktor explores the idea of treating data as a product and the potential for AI-driven data exchanges. He also touches on the importance of decentralization, security concerns, and the future of data marketplaces, making the case for innovative, open-source solutions in the data economy.

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