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Debugging Large-Scale Data Science Pipelines using Dagger

Summary: End-to-end debugger for data pipelines; Dagger isolates data-centric errors from transformations to model inputs. It enables inter-module (black-box blocks) and intra-module (inspect DataFrames/Python objects) debugging, demonstrated on Intel BI workloads. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12371
Venue
VLDB
Year
2020
Pagerank
5.2616335e-05
Overall Rank
9,495 | 34.86%
DOI
10.14778/3415478.3415527

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{rezig_vldb20,
        title = {{Debugging Large-Scale Data Science Pipelines using Dagger}},
        author = {Rezig, El Kindi and Brahmaroutu, Ashrita and Tatbul, Nesime and Ouzzani, Mourad and Tang, Nan and Mattson, Timothy and Madden, Samuel and Stonebraker, Michael},
        journal = {PVLDB},
        series = {{VLDB} '20},
        volume = {13},
        number = {12},
        pages = {2993--2996},
        doi = {10.14778/3415478.3415527},
        url = {https://doi.org/10.14778/3415478.3415527},
        year = {2020}
}

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