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Data Engineering: The World Between Worlds
--client
pyohio
--show
pyohio_2024
--room orchid_west_24 15454 --force
Next: 10 Keynote
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Marks
Author(s):
Rainu Ittycheriah
Location
Orchid West
Date
jul Sat 27
Days Raw Files
Start
15:00
First Raw Start
14:42
Duration
00:30:00
Offset
0:17:31
End
15:30
Last Raw End
15:42
Chapters
00:00
0:11:54
Total cuts_time
25 min.
https://www.pyohio.org/2024/program/talks/data-engineering-the-world-between-worlds
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Data engineering is an often misunderstood, conflated range of skills from database administration, analytics, ETL, cloud infrastructure, big data and back. As someone who worked as a data engineer for just over 5 years, I’d love to share my stories about my time as a data engineer to pull back the curtain on what kind of value you might be able to get from data engineering as the heat of ML Ops and AI takes flight, both as organization and individual. Notably, many data engineering teams heavily leverage Python due to the depth and breadth of the data libraries, and the ease by which folks can learn Python to start creating value within the space. We'll also talk about a few of the key libraries that you can learn to set yourself apart if you decide data engineering is for you!
Comment:
production notes
2024-07-27/14_42_29.ts
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