Data Debugging and Exploration with Vizier
Summary: Vizier unifies Python, SQL, and automated data curation/debugging for multi-modal exploration on Spark, handling large, multi-format data. Notebook + spreadsheet UI with visualizations; native provenance and versioning enable collaboration and uncertainty management on real-data tasks. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Mike Brachmann (State University of New York at Buffalo)
- 2. Carlos Bautista (New York University)
- 3. Sonia Castelo (New York University)
- 4. Su Feng (Illinois Institute of Technology)
- 5. Juliana Freire (New York University)
- 6. Boris Glavic (Illinois Institute of Technology)
- 7. Oliver Kennedy (State University of New York at Buffalo)
- 8. Heiko Müller (New York University)
- 9. Rémi Rampin (New York University)
- 10. William Spoth (State University of New York at Buffalo)
- 11. Ying Yang (Oracle)
BibTeX Citation
@inproceedings{brachmann_sigmod19,
title = {{Data Debugging and Exploration with Vizier}},
author = {Brachmann, Mike and Bautista, Carlos and Castelo, Sonia and Feng, Su and Freire, Juliana and Glavic, Boris and Kennedy, Oliver and Müller, Heiko and Rampin, Rémi and Spoth, William and Yang, Ying},
series = {{SIGMOD} '19},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3299869.3319887},
url = {https://dl.acm.org/doi/10.1145/3299869.3319887},
year = {2019}
}Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,058 | Automatically Generating Data Exploration Sessions Using Deep Reinforcement Learning | 2020 | SIGMOD | 9.2480248e-05 |
| 5,510 | Responsible Data Integration: Next-generation Challenges | 2022 | SIGMOD | 6.1919207e-05 |
| 6,250 | Lightweight Inspection of Data Preprocessing in Native Machine Learning Pipelines | 2021 | CIDR | 5.9418015e-05 |
| 7,068 | DataPrism: Exposing Disconnect between Data and Systems | 2022 | SIGMOD | 5.7119157e-05 |
| 8,260 | Efficient Uncertainty Tracking for Complex Queries with Attribute-level Bounds | 2021 | SIGMOD | 5.4574671e-05 |
| 9,495 | Debugging Large-Scale Data Science Pipelines using Dagger | 2020 | VLDB | 5.2616335e-05 |
| 11,111 | Kishu: Time-Traveling for Computational Notebooks | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,475 | VisTrails: Visualization meets Data Management | 2006 | SIGMOD | 0.00010662942 |
| 5,971 | Lenses: An On-Demand Approach to ETL | 2015 | VLDB | 6.0243066e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 11,661 | PyExplore: Query Recommendations for Data Exploration without Query Logs | 2021 | SIGMOD |
| 2 | 4,864 | SeeDB: Automatically Generating Query Visualizations | 2014 | VLDB |
| 3 | 10,714 | DataDazzle: Intelligent Data Exploration through Natural Language | 2025 | SIGMOD |
| 4 | 2,050 | Vizdom: Interactive Analytics through Pen and Touch | 2015 | VLDB |
| 5 | 2,632 | DEVise: Integrated Querying and Visual Exploration of Large Datasets | 1997 | SIGMOD |
| 6 | 9,495 | Debugging Large-Scale Data Science Pipelines using Dagger | 2020 | VLDB |
| 7 | 1,932 | VizDeck: Self-Organizing Dashboards for Visual Analytics | 2012 | SIGMOD |
| 8 | 5,644 | A Demo of the Data Civilizer System | 2017 | SIGMOD |
| 9 | 12,960 | DEVise: Integrated Querying and Visual Exploration of Large Datasets (DEMO ABSTRACT) | 1997 | SIGMOD |
| 10 | 5,931 | Your notebook is not crumby enough, REPLace it | 2020 | CIDR |