TensorFlow Data Validation: Data Analysis and Validation in Continuous ML Pipelines
Summary: TFDV offers scalable data analysis and validation for continuous ML pipelines, elevating data quality as a first-class concern. Integrated with TensorFlow Extended (TFX), it provides production-grade data monitoring, schema validation, and anomaly detection; open-sourced and widely adopted. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Emily Caveness (Google)
- 2. Paul Suganthan G. C. (Google)
- 3. Zhuo Peng (Google)
- 4. Neoklis Polyzotis (Google)
- 5. Sudip Roy (Google)
- 6. Martin Zinkevich (Google)
BibTeX Citation
@inproceedings{caveness_sigmod20,
title = {{TensorFlow Data Validation: Data Analysis and Validation in Continuous ML Pipelines}},
author = {Caveness, Emily and C., Paul Suganthan G. and Peng, Zhuo and Polyzotis, Neoklis and Roy, Sudip and Zinkevich, Martin},
series = {{SIGMOD} '20},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3318464.3384707},
url = {https://dl.acm.org/doi/10.1145/3318464.3384707},
year = {2020}
}Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,232 | Saga: A Scalable Framework for Optimizing Data Cleaning Pipelines for Machine Learning Applications | 2023 | SIGMOD | 5.6659017e-05 |
| 9,069 | DQDF: Data-Quality-Aware Dataframes | 2022 | VLDB | 5.3251649e-05 |
| 11,000 | Unlocking the Power of CI/CD for Data Pipelines in Distributed Data Warehouses | 2025 | VLDB | 5.093636e-05 |
| 11,090 | T-Assess: An Efficient Data Quality Assessment System Tailored for Trajectory Data | 2025 | VLDB | 5.093636e-05 |
| 11,479 | CM-Explorer: Dissecting Data Ingestion Problems | 2023 | VLDB | 5.093636e-05 |
| 11,540 | FILA: Online Auditing of Machine Learning Model Accuracy under Finite Labelling Budget | 2022 | SIGMOD | 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 |
|---|---|---|---|---|
| 1,323 | Data Cleaning: Overview and Emerging Challenges | 2016 | SIGMOD | 0.00011152602 |
| 1,350 | Automating Large-Scale Data Quality Verification | 2018 | VLDB | 0.00011065626 |
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