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Teaching Data Management Concepts for Data in Files

Published:12 June 2022Publication History

ABSTRACT

A database management system offers mechanisms that support data management, such as access control, integrity preservation, schema documentation, durability, etc. When datasets are stored in files, as is common in many data science projects, these functionalities need to be done directly by the data owner. This paper proposes ways to teach data management principles for such file-based settings, and we report on some of the challenges students have faced.

References

  1. Joshua Burridge and Alan D. Fekete. 2022. Teaching Programming for First Year Data Science. In ITiCSE ’22: Proceedings of the 2022 ACM Conference on Innovation and Technology in Computer Science Education.Google ScholarGoogle Scholar
  2. Alan D. Fekete, Judy Kay, and Uwe Röhm. 2021. A Data-centric Computing Curriculum for a Data Science Major. In SIGCSE ’21: The 52nd ACM Technical Symposium on Computer Science Education. 865–871.Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Uwe Röhm, Lexi Brent, Tim Dawborn, and Bryn Jeffries. 2020. SQL for Data Scientists: Designing SQL Tutorials for Scalable Online Teaching. Proceedings of the VLDB (PVLDB) 13, 12 (2020), 2989–2992.Google ScholarGoogle ScholarDigital LibraryDigital Library
  1. Teaching Data Management Concepts for Data in Files

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    • Published in

      cover image ACM Conferences
      DataEd '22: 1st International Workshop on Data Systems Education
      June 2022
      66 pages
      ISBN:9781450393508
      DOI:10.1145/3531072

      Copyright © 2022 ACM

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      New York, NY, United States

      Publication History

      • Published: 12 June 2022

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