Technical Talks
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Python Over Data Lakes: Declarative Environments, Data Management And Other Things With Feathers
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ABOUT THE TALK
- Data Sci & Algos
Python Data Lake Reproducibility: Building Deterministic Pipelines at Scale | Learn advanced techniques for creating reproducible data workflows across distributed environments using Python, Iceberg, Arrow, and Docker. Master declarative approaches to managing code versions, data dependencies, and runtime configurations in complex data lake architectures. Discover practical solutions for decoupling compute, storage, and execution environments while maintaining deterministic results. Includes implementation strategies using open-source tools for building efficient, scalable data pipelines with improved developer experience.
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Founder
Ciro Greco
Bauplan
Ciro Greco is the Founder and CEO of bauplan, a zero-copy, data-first FaaS platform launched in 2023. He holds a Ph.D. in Experimental Psychology, Linguistics and Neuroscience from the University of Milano-Bicocca. Previously, he co-founded Tooso, an AI-powered commerce search company acquired by Coveo in 2019, where he later served as VP of Artificial Intelligence. His expertise spans AI, linguistics, and data engineering, with a focus on making cloud data pipelines more efficient.
Discover the data foundations powering today's AI breakthroughs. Join leading minds as we explore both cutting-edge AI and the infrastructure behind it. Reserve your spot at before tickets sell out!