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UID:pretalx-pycon-lt-2023-BVHV3U@pretalx.com
DTSTART;TZID=EET:20230519T120000
DTEND;TZID=EET:20230519T122500
DESCRIPTION:The talk will introduce Apache Airflow and its competitors. The
  main goal of the talk is to showcase how Airflow adapted to the ever-chan
 ging data space. Comparison and feature exploration would be oriented in t
 ackling the simplest data extraction and transformation layers in differen
 t tools. The plan is to showcase extracting part from Database to S3\, mov
 e to a database\, and add a transformation layer to fill the data warehous
 e and run data quality checks. The comparison would be on speed\, efficien
 cy\, integration of different tools and vendors (AWS\, dbt Labs\, Postgres
  db) and how it looks in the modern data engineering world (adjustments to
  more frequent refreshes\, dataset awareness\, community support)\, what's
  crucial\, what's missing and how it might go in the future for all of the
 se tools.
DTSTAMP:20260410T121000Z
LOCATION:Saphire B - PyData
SUMMARY:Is it the end for Apache Airflow? - Tomas Peluritis
URL:https://pretalx.com/pycon-lt-2023/talk/BVHV3U/
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