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UID:pretalx-pyconde-pydata-2025-MRHNCV@pretalx.com
DTSTART;TZID=CET:20250423T122500
DTEND;TZID=CET:20250423T131000
DESCRIPTION:Open table formats have revolutionized analytical\, columnar st
 orage on cloud object stores with critical features like ACID compliance a
 nd enhanced metadata management\, once exclusive to proprietary cloud data
  warehouses. Delta Lake\, Iceberg\, and Hudi have significantly advanced o
 ver traditional open file formats like Parquet and ORC.\n\nIn an effort to
  modernize our data architecture\, we aimed to replace our Parquet-based b
 ronze layer with Delta Lake\, anticipating better query performance\, redu
 ced maintenance\, native support for incremental processing\, and more. Wh
 ile our initial pilot showed promise\, we encountered unexpected pitfalls 
 that ultimately brought us back to where we began.\n\nCurious? Join me as 
 we shed light on the current state of table formats.
DTSTAMP:20260716T081947Z
LOCATION:Zeiss Plenary (Spectrum)
SUMMARY:Open Table Formats in the Wild: From Parquet to Delta Lake and Back
  - Franz Wöllert
URL:https://pretalx.com/pyconde-pydata-2025/talk/MRHNCV/
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