Data & AIConference45min
Scaling the Future: Lakehouse Architecture and Open Source Collaboration
This talk presents the lakehouse paradigm as a scalable, flexible data architecture uniting data lake and warehouse strengths. It showcases how open source tools like Apache Spark, Delta Lake, and Iceberg enable robust platforms, emphasizing community contributions to drive innovation, reliability, and future data engineering advancements.
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Victor BotanAd/01
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Wednesday, April 29, 11:30-12:15
CONFERENCE
Modern data platforms demand scalability, flexibility, and interoperability—capabilities that traditional architectures often fail to deliver. The lakehouse paradigm bridges this gap by combining the strengths of data lakes and data warehouses into a unified, performant system.
This talk explores how open source technologies like Apache Spark, Delta Lake, and Apache Iceberg enable scalable lakehouse architectures. It also highlights the strategic value of contributing back to these ecosystems—driving innovation, improving reliability, and shaping the future of data engineering. Attendees will leave with practical insights on building resilient data platforms and leveraging open source as a force multiplier.
This talk explores how open source technologies like Apache Spark, Delta Lake, and Apache Iceberg enable scalable lakehouse architectures. It also highlights the strategic value of contributing back to these ecosystems—driving innovation, improving reliability, and shaping the future of data engineering. Attendees will leave with practical insights on building resilient data platforms and leveraging open source as a force multiplier.
Victor Botan
I’ve been working in the data world for about 10 years, with the last 5 focused on data engineering. Along the way, I’ve worked with a mix of tools and platforms, building and scaling data systems in different environments. I’m particularly interested in modern data architectures, open source technologies, and how we can make data platforms more scalable and practical in the real world.