The future of data(Base) education: Is the "cow book" dead?

Zachary G. Ives, Rachel Pottinger, Arun Kumar, Johannes Gehrke, Jana Giceva

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations


This panel encourages a debate over the future of database education and its relationship to Data Science: Are Computer Science (CS) and Data Science (DS) different disciplines about to split, and how does that effect how we teach our field? Is there a "data" course that belongs in CS that all of our students should take? Who is the traditional database course, e.g. based on the "cow book", relevant to? What traditional topics should we not be teaching in our core data course(s) and which ones should be added? What do we teach the student who has one elective for data science? How does our community position itself for leadership in CS given the popularity of DS?.

Original languageEnglish
Pages (from-to)3239-3240
Number of pages2
JournalProceedings of the VLDB Endowment
Issue number12
StatePublished - 2021
Event47th International Conference on Very Large Data Bases, VLDB 2021 - Virtual, Online
Duration: 16 Aug 202120 Aug 2021


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