In this episode, we speak with Christoph Wurm, the first Solution Architect at ClickHouse. Christoph provides an in-depth look at ClickHouse’s architecture, the challenges of scaling analytics databases, and the evolving landscape of open source and cloud solutions. We discuss the future of data lakes, open formats, and the impact of AI on analytics and data accessibility.
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46:56
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46:56
12 - Steep - Johan Baltzar
In this episode, we chat with Johan Baltzar, Co-founder and CEO of Steep. Johan shares his journey from building analytics at Spotify to co-founding Steep, and discusses the challenges of traditional BI tools, the evolution toward metrics-first analytics, and how Steep aims to make data more accessible and intuitive for business users. We explore the importance of user experience in BI, the role of semantic layers, and the future of AI-driven analytics and self-serve reporting.
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47:27
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47:27
11 - Lakekeeper - Viktor Kessler
In this episode, we chat with Viktor Kessler, co-founder of LakeKeeper, an open-source Iceberg REST catalog. He shares why catalogs are the next frontier in data infra, how metadata can become actionable, and what it takes to build open, vendor-neutral platforms in a Snowflake vs. Databricks world.
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49:42
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49:42
10 - Opher Kahane
In this episode, we chat with Opher Kahane, an entrepreneur with three successful startups under his belt. He shares his experience transitioning from founder to advisor, working with over 40 startups. The discussion covers the rapid evolution of AI and data platforms, challenges faced by startups, and the potential of AI to improve data quality. This episode is packed with insights on the future of data and AI, and the traits that drive successful entrepreneurship.https://www.linkedin.com/in/okahane/
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49:16
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49:16
09 - MLOps community - Demetrios Brinkmann
In this episode of The Data Builders Podcast, we dive into a lively conversation with Demetrios founder of MLOps Community. He shares his journey from being a sales guy to running a global community of AI/ML practitioners with over 20,000 members. He discusses the importance of creating psychological safety in communities, the evolution of data science and machine learning projects, and the rise of AI engineers. We also explore fascinating AI agent use cases, their challenges, and the cognitive load involved in interacting with chatbots. Join us for behind-the-scenes look at building a thriving community in the tech world.
We are best friends, we've been co workers for years, and now we're co-founders! But most of all, we love talking about data. Mostly metadata, and data infrastructure even more. Join us as we talk to data professionals, data vendors, and crazy enthusiasts like us to praise, diss and blab about data.
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