In this episode, we sit down with Ori Rafael, CEO and Co-founder of Upsolver, to explore the rise of the lakehouse architecture and its significance in modern data management. Ori breaks down the origins of the lakehouse and how it leverages S3 to provide scalable and cost-effective storage. We discuss the critical role of open table formats like Apache Iceberg in unifying data lakes and warehouses, and how ETL processes differ between these environments. Ori also shares his vision for the future, highlighting how Upsolver is positioned to empower organizations as they navigate the rapidly evolving data landscape.
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