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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260707T090052Z
UID:7f6f77e5-0dba-4e95-9274-637b704d401d
DTSTART:20250108T080000Z
DTEND:20250108T110000Z
DESCRIPTION:Researchers often spend a significant amount of time on data wr
 angling tasks\, such as reformatting\, cleaning\, and integrating data fro
 m different sources. Despite the availability of software tools\, they oft
 en end up with difficult to reuse workflows that require manual steps.\n\n
 Omnipy is a new Python library that offers a systematic and scalable appro
 ach to building data pipelines. Through specification of data models/parse
 rs\, Omnipy allows researchers to import data in various formats and wrang
 le their data through stepwise transformations.\n\nFor automation with lar
 ge data\, Omnipy seamlessly scales up for deployment on remote infrastruct
 ures. This workshop will provide down-to-earth tutorials and examples to h
 elp data scientists from any field make use of Omnipy to wrangle real-worl
 d datasets into shape.\n\nThe workshop is divided into three parts:\n\n1. 
 The first part will introduce the concepts of models\, datasets and tasks 
 in Omnipy through small examples. We will also touch upon Python type hint
 s and pydantic models as needed\, as these are important building blocks f
 or Omnipy.\n2. In the second part\, the participants will be provided with
  a rough example dataset that requires cleaning. As a hands-on exercise\, 
 the participant will carry out step-wise parsing and shaping of the data t
 o make it comply with a specified metadata schema.\n3. In the last part\, 
 the participants will be introduced to the metadata mapping functionalitie
 s in Omnipy and will be led through another hands-on exercise to set up a 
 transformation that maps the data from one metadata schema to another.
LOCATION:Elektronisk klasserom\, Universitetsbiblioteket i Oslo\, 39 Moltke
  Moes vei
SUMMARY:Building Scalable and Maintainable Data Pipelines with Omnipy (Part
  1)
URL;VALUE=URI:https://www.ub.uio.no/english/courses-events/events/dsc/2025/
 digital-scholarship-days/10-building-scalable-and-maintainable-data-pipeli
 nes-with-omnipy-part1
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