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SUMMARY:WALD: A Modern & Sustainable Analytics Stack - Florian Wilhelm
DTSTART;TZID=Europe/Berlin:20230417T154500
DTEND;TZID=Europe/Berlin:20230417T161500
DTSTAMP:20260816T195638Z
UID:pretalx-pyconde-pydata-berlin-2023-TP7ABB@pretalx.com
DESCRIPTION:The name **WALD**-stack stems from the four technologies it is
  composed of\, i.e. a cloud-computing **W**arehouse like Snowflake or Goog
 le BigQuery\, the open-source data integration engine **A**irbyte\, the op
 en-source full-stack\nBI platform **L**ightdash\, and the open-source data
  transformation tool **D**BT.\n\nUsing a Formula 1 Grand Prix dataset\, I 
 will give an overview of how these four tools complement each other perfec
 tly for analytics tasks in an ELT approach. You will learn the specific us
 es of each tool as well as their particular features. My talk is based on 
 a full tutorial\, which you can find under [waldstack.org](https://waldsta
 ck.org).
LOCATION:B05-B06
URL:https://pretalx.com/pyconde-pydata-berlin-2023/talk/TP7ABB/
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