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UID:pretalx-pyconde-pydata-berlin-2023-V9HBUU@pretalx.com
DTSTART;TZID=CET:20230419T114000
DTEND;TZID=CET:20230419T131000
DESCRIPTION:The Python data ecosystem has matured during the last decade an
 d there are less and less reasons to rely only large batch process execute
 d in a Spark cluster\, but with every large ecosystem\, putting together t
 he key pieces of technology takes some effort. There are now better storag
 e technologies\, streaming execution engines\, query planners\, and low le
 vel compute libraries. And modern hardware is way more powerful than what 
 you'd probably expect.  In this workshop we will explore some global-warmi
 ng-reducing techniques to build more efficient data transformation pipelin
 es in Python\, and a little bit of Rust.
DTSTAMP:20260716T074709Z
LOCATION:A03-A04
SUMMARY:Most of you don't need Spark. Large-scale data management on a budg
 et with Python - Guillem Borrell
URL:https://pretalx.com/pyconde-pydata-berlin-2023/talk/V9HBUU/
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