Data Civilizer 2.0: A Holistic Framework for Data Preparation and Analytics
Summary: Data Civilizer 2.0 is an end-to-end workflow unifying data cleaning and ML development for integrated preparation and analytics. Features a data debugger and workflow visualization; demonstrates end-to-end cleaning and ML on a 30TB brain dataset at MGH. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. El Kindi Rezig (Massachusetts Institute of Technology)
- 2. Lei Cao (Massachusetts Institute of Technology)
- 3. Michael Stonebraker (Massachusetts Institute of Technology)
- 4. Giovanni Simonini (Massachusetts Institute of Technology)
- 5. Wenbo Tao (Massachusetts Institute of Technology)
- 6. Samuel Madden (Massachusetts Institute of Technology)
- 7. Mourad Ouzzani (Hamad Bin Khalifa University; Qatar Computing Research Institute)
- 8. Nan Tang (Hamad Bin Khalifa University; Qatar Computing Research Institute)
- 9. Ahmed K. Elmagarmid (Hamad Bin Khalifa University; Qatar Computing Research Institute)
BibTeX Citation
@article{rezig_vldb19,
title = {{Data Civilizer 2.0: A Holistic Framework for Data Preparation and Analytics}},
author = {Rezig, El Kindi and Cao, Lei and Stonebraker, Michael and Simonini, Giovanni and Tao, Wenbo and Madden, Samuel and Ouzzani, Mourad and Tang, Nan and Elmagarmid, Ahmed K.},
journal = {PVLDB},
series = {{VLDB} '19},
volume = {12},
number = {12},
pages = {1954--1957},
doi = {10.14778/3352063.3352108},
url = {https://doi.org/10.14778/3352063.3352108},
year = {2019}
}Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,550 | Symphony: Towards Natural Language Query Answering over Multi-modal Data Lakes | 2023 | CIDR | 0.00010385904 |
| 4,658 | OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning | 2021 | SIGMOD | 6.5817368e-05 |
| 5,404 | Dagger: A Data (not code) Debugger | 2020 | CIDR | 6.2294192e-05 |
| 9,495 | Debugging Large-Scale Data Science Pipelines using Dagger | 2020 | VLDB | 5.2616335e-05 |
| 10,867 | Weak-to-Strong Prompts with Lightweight-to-Powerful LLMs for High-Accuracy, Low-Cost, and Explainable Data Transformation | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 112 | HoloClean: Holistic Data Repairs with Probabilistic Inference | 2017 | VLDB | 0.00032801121 |
| 529 | Magellan: Toward Building Entity Matching Management Systems | 2016 | VLDB | 0.00017096361 |
| 963 | The Data Civilizer System | 2017 | CIDR | 0.00012935145 |
| 3,146 | HELIX: Accelerating Human-in-the-loop Machine Learning | 2018 | VLDB | 7.7091591e-05 |
| 5,644 | A Demo of the Data Civilizer System | 2017 | SIGMOD | 6.1378898e-05 |
| 5,737 | Kyrix: Interactive Visual Data Exploration at Scale | 2019 | CIDR | 6.1049023e-05 |
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| 2 | 6,315 | Data Collection and Quality Challenges for Deep Learning | 2020 | VLDB |
| 3 | 4,373 | Data Debugging and Exploration with Vizier | 2019 | SIGMOD |
| 4 | 7,232 | Saga: A Scalable Framework for Optimizing Data Cleaning Pipelines for Machine Learning Applications | 2023 | SIGMOD |
| 5 | 5,794 | ActiveClean: An Interactive Data Cleaning Framework For Modern Machine Learning | 2016 | SIGMOD |
| 6 | 5,404 | Dagger: A Data (not code) Debugger | 2020 | CIDR |
| 7 | 11,713 | From Papers to Practice: The openclean Open-Source Data Cleaning Library | 2021 | VLDB |
| 8 | 13,435 | Data Cleaning in the Era of Data Science: Challenges and Opportunities | 2021 | CIDR |
| 9 | 963 | The Data Civilizer System | 2017 | CIDR |
| 10 | 5,644 | A Demo of the Data Civilizer System | 2017 | SIGMOD |