Life Beyond Pandas: Workflows with DuckDB, Daft, Polars, and Datafusion
Автор: DataEngBytes
Загружено: 2025-12-20
Просмотров: 14
🎤 Mimoune Djouallah
Talk Title: Life Beyond Pandas: Workflows with DuckDB, Daft, Polars, and Datafusion
Talk Summary: In this talk we will look at four modern data engines: Daft, DuckDB, Polars and DataFusion. They all support some form of out of core execution, letting you work with data larger than memory without moving to a distributed system.They are fast, expressive and very Python friendly, although SQL support can still influence which one fits your workflow.Instead of asking which engine is best, we will focus on recent progress, including a workload that became twice as fast in under a year and how open table formats are bringing cloud warehouse features to local Python workflows.
Speaker Bio: Mimoune "Mim" Djouallah, a former Construction Planner, has been a member of the Microsoft Fabric CAT team since December 2023. Holding a BSc in Civil Engineering, he's been deeply involved with the Power BI stack since 2016. An early adopter of Fabric, Mim actively blogs about Python notebooks, GIS, and various data engines that integrate with Onelake.
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