DataPrism: Exposing Disconnect between Data and Systems

Summary: DataPrism performs causal interventions to expose data profiles driving system failures. Root causes identified precisely with orders of magnitude fewer interventions than prior work, validated on seven real and synthetic data-driven systems. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: h832796a4f99160b6
Venue: SIGMOD
Year: 2022
Pagerank: 5.573413e-05
Overall Rank: 7,194 | 51.78%
DOI: 10.1145/3514221.3517864

Incoming Non-self Citations Over Time

Authors

1. Sainyam Galhotra (University of Chicago)
2. Anna Fariha (Microsoft)
3. Raoni Lourenço (New York University)
4. Juliana Freire (New York University)
5. Alexandra Meliou (University of Massachusetts Amherst)
6. Divesh Srivastava (AT&T)

BibTeX Citation

@inproceedings{galhotra_sigmod22,
        title = {{DataPrism: Exposing Disconnect between Data and Systems}},
        author = {Galhotra, Sainyam and Fariha, Anna and Lourenço, Raoni and Freire, Juliana and Meliou, Alexandra and Srivastava, Divesh},
        series = {{SIGMOD} '22},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3514221.3517864},
        url = {https://dl.acm.org/doi/10.1145/3514221.3517864},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
6,438	CtxPipe: Context-aware Data Preparation Pipeline Construction for Machine Learning	2024	SIGMOD	5.7678369e-05
9,054	Fainder: A Fast and Accurate Index for Distribution-Aware Dataset Search	2024	VLDB	5.2149206e-05
10,925	PipeLens: Identifying Interventions for Resolving Malfunctioning Data Science Pipelines	2026	VLDB	4.9605343e-05
11,210	CausalExplain: Causal Explanations of Black-box Models with Training Data Subsets	2025	SIGMOD	4.9605343e-05
11,571	Counterfactual Explanation at Will, with Zero Privacy Leakage	2024	SIGMOD	4.9605343e-05

Outgoing Citations (Sorted by Pagerank)

Showing 22 of 22 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
100	HoloClean: Holistic Data Repairs with Probabilistic Inference	2017	VLDB	0.00033951027
160	CORDS: Automatic Discovery of Correlations and Soft Functional Dependencies	2004	SIGMOD	0.00027775994
348	Discovering Denial Constraints	2013	VLDB	0.00020216677
727	Functional Dependency Discovery: An Experimental Evaluation of Seven Algorithms	2015	VLDB	0.00014426954
804	Interventional Fairness : Causal Database Repair for Algorithmic Fairness	2019	SIGMOD	0.00013788292
879	Interpretable and Informative Explanations of Outcomes	2015	VLDB	0.00013255435
1,844	MacroBase: Prioritizing Attention in Fast Data	2017	SIGMOD	9.5112726e-05
2,170	Data Polygamy: The Many-Many Relationships among Urban Spatio-Temporal Data Sets	2016	SIGMOD	8.9149718e-05
2,328	Causal Relational Learning	2020	SIGMOD	8.6206869e-05
2,373	SCODED: Statistical Constraint Oriented Data Error Detection	2020	SIGMOD	8.5434538e-05
2,396	From Data Fusion to Knowledge Fusion	2014	VLDB	8.5109743e-05
2,473	Complaint-driven Training Data Debugging for Query 2.0	2020	SIGMOD	8.3984284e-05
2,685	Data X-Ray: A Diagnostic Tool for Data Errors	2015	SIGMOD	8.116387e-05
3,741	Learning to Validate the Predictions of Black Box Classifiers on Unseen Data	2020	SIGMOD	7.0396815e-05
4,264	Divide & Conquer-based Inclusion Dependency Discovery	2015	VLDB	6.6809569e-05
4,369	Horizon: Scalable Dependency-driven Data Cleaning	2021	VLDB	6.6220109e-05
4,472	Data Debugging and Exploration with Vizier	2019	SIGMOD	6.5709808e-05
5,277	Dagger: A Data (not code) Debugger	2020	CIDR	6.1853307e-05
7,518	Conformance Constraint Discovery: Measuring Trust in Data-Driven Systems	2021	SIGMOD	5.4894144e-05
7,633	BugDoc: Algorithms to Debug Computational Processes	2020	SIGMOD	5.4635757e-05
8,540	Causality-Guided Adaptive Interventional Debugging	2020	SIGMOD	5.3042872e-05
9,711	Debugging Large-Scale Data Science Pipelines using Dagger	2020	VLDB	5.1244582e-05

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