SQL for Data Scientists: Designing SQL Tutorials for Scalable Online Teaching

Summary: Extends Grok from programming-language instruction to scalable, auto-graded SQL teaching for data scientists. Per-query fresh database sandboxes enable safe, interactive practice with declarative queries and side-effecting SQL (DDL, triggers, procedures, UDFs) for thousands of users. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: 12370
Venue: VLDB
Year: 2020
Pagerank: 5.093636e-05
Overall Rank: 11,817 | 18.93%
DOI: 10.14778/3415478.3415526

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

1. Uwe Röhm (University of Sydney)
2. Lexi Brent (University of Sydney)
3. Tim Dawborn (Grok Learning)
4. Bryn Jeffries (Grok Learning)

BibTeX Citation

@article{rohm_vldb20,
        title = {{SQL for Data Scientists: Designing SQL Tutorials for Scalable Online Teaching}},
        author = {Röhm, Uwe and Brent, Lexi and Dawborn, Tim and Jeffries, Bryn},
        journal = {PVLDB},
        series = {{VLDB} '20},
        volume = {13},
        number = {12},
        pages = {2989--2992},
        doi = {10.14778/3415478.3415526},
        url = {https://doi.org/10.14778/3415478.3415526},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
1,719	The SDSS SkyServer - Public Access to the Sloan Digital Sky Survey Data	2002	SIGMOD	9.9268286e-05

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