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UID:pretalx-pyconde-pydata-berlin-2023-A7B8P8@pretalx.com
DTSTART;TZID=CET:20230419T151000
DTEND;TZID=CET:20230419T154000
DESCRIPTION:The Modern Data Stack has brought a lot of new buzzwords into t
 he data engineering lexicon: "data mesh"\, "data observability"\, "reverse
  ETL"\, "data lineage"\, "analytics engineering". In this light-hearted ta
 lk we will demystify the evolving revolution that will define the future o
 f data analytics & engineering teams.\n\nOur journey begins with the PyDat
 a Stack: pandas pipelines powering ETL workflows...clean code\, tested cod
 e\, data validation\, perfect for in-memory workflows. As demand for self-
 serve analytics grows\, new data sources bring more APIs to model\, more c
 ode to maintain\, DAG workflow orchestration tools\, new nuances to captur
 e ("the tax team defines revenue differently")\, more dashboards\, more no
 t-quite-bugs ("but my number says this...").\n\nThis data maturity journey
  is a well-trodden path with common pitfalls & opportunities. After dashbo
 ards comes predictive modelling ("what will happen")\, prescriptive modell
 ing ("what should we do?")\, perhaps eventually automated decision making.
  Getting there is much easier with the advent of the Python Powered Modern
  Data Stack.\n\nIn this talk\, we will cover the shift from ETL to ELT\, t
 he open-source Modern Data Stack tools you should know\, with a focus on h
 ow dbt's new Python integration is changing how data pipelines are built\,
  run\, tested & maintained. By understanding the latest trends & buzzwords
 \, attendees will gain a deeper insight into Python's role at the core of 
 the future of data engineering.
DTSTAMP:20260411T143147Z
LOCATION:B09
SUMMARY:Postmodern Architecture: The Python Powered Modern Data Stack - Joh
 n Sandall
URL:https://pretalx.com/pyconde-pydata-berlin-2023/talk/A7B8P8/
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