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UID:pretalx-pydata-amsterdam2026-TRBXRH@pretalx.com
DTSTART;TZID=CET:20260911T110500
DTEND;TZID=CET:20260911T113500
DESCRIPTION:DuckDB and ADBC (“Arrow Database Connectivity”) have both b
 ecome popular tools for data analytics in Python. DuckDB provides a fast\,
  embeddable query engine that often beats heavyweight tools and cloud serv
 ices\, while ADBC brings the promise of JDBC/ODBC into the new millennium 
 with a single\, Arrow-native API for database access. \n\nIf you’re usin
 g either tool\, or want to get onboard\, we’ll show how you can use thes
 e projects together for even faster\, easier data access. DuckDB itself ca
 n be accessed with the ADBC APIs\, alongside over a dozen systems from Big
 Query to SQL Server. With the new `adbc` extension\, DuckDB can also fetch
  data from all of these systems\, letting you unify all of your analytics 
 in one place. We’ll also introduce new tools like ADBC connection profil
 es\, the `dbc` CLI for installing drivers\, and agent skills to work with 
 ADBC.
DTSTAMP:20260710T163637Z
LOCATION:Unconference
SUMMARY:DuckDB + ADBC: Faster\, Easier Data Analytics - Matt Topol
URL:https://pretalx.com/pydata-amsterdam2026/talk/TRBXRH/
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