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Expand your Training Limits! Generating Training Data for ML-based Data Management

Summary: DataFarm generates and labels large, heterogeneous query workloads for ML-driven data management. A data-driven whitebox learner uses small workloads and data to synthesize jobs, delivering up to 9x labeling gains (R^2) and 54x cost reductions vs prior work. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6239
Venue
SIGMOD
Year
2021
Pagerank
6.0031118e-05
Overall Rank
6,024 | 58.68%
DOI
10.1145/3448016.3457286

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{ventura_sigmod21,
        title = {{Expand your Training Limits! Generating Training Data for ML-based Data Management}},
        author = {Ventura, Francesco and Kaoudi, Zoi and Quiané-Ruiz, Jorge-Arnulfo and Markl, Volker},
        series = {{SIGMOD} '21},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3448016.3457286},
        url = {https://dl.acm.org/doi/10.1145/3448016.3457286},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

Showing 9 of 9 citing papers.

Rank Citing Paper Year Venue Pagerank
2,844 Zero-Shot Cost Models for Out-of-the-box Learned Cost Prediction 2022 VLDB 8.0608767e-05
6,921 Rethinking Learned Cost Models: Why Start from Scratch? 2023 SIGMOD 5.7388557e-05
8,572 T3: Accurate and Fast Performance Prediction for Relational Database Systems With Compiled Decision Trees 2025 SIGMOD 5.4102362e-05
8,905 TensorSocket: Shared Data Loading for Deep Learning Training 2026 SIGMOD 5.3483178e-05
8,984 Hit the Gym: Accelerating Query Execution to Efficiently Bootstrap Behavior Models for Self-Driving Database Management Systems 2024 VLDB 5.3395569e-05
9,359 Farm Your ML-based Query Optimizer's Food! - Human-Guided Training Data Generation - 2022 CIDR 5.282159e-05
9,536 Database Gyms 2023 CIDR 5.2529727e-05
9,734 Optimizing Dataflow Systems for Scalable Interactive Visualization 2024 SIGMOD 5.227679e-05
11,065 Learned Cost Models for Query Optimization: From Batch to Streaming Systems 2025 VLDB 5.093636e-05
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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
18 How Good Are Query Optimizers, Really? 2016 VLDB 0.00059284255
84 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00035838391
100 LEO - DB2's LEarning Optimizer 2001 VLDB 0.00034385207
154 Neo: A Learned Query Optimizer 2019 VLDB 0.00028726181
205 Snorkel: Rapid Training Data Creation with Weak Supervision 2018 VLDB 0.00025235185
323 DeepDB: Learn from Data, not from Queries! 2020 VLDB 0.00021264788
401 Deep Unsupervised Cardinality Estimation 2020 VLDB 0.00019092557
465 An End-to-End Learning-based Cost Estimator 2020 VLDB 0.0001803934
476 The Making of TPC-DS 2006 VLDB 0.00017860667
528 On Active Learning of Record Matching Packages 2010 SIGMOD 0.00017100838
563 Plan-Structured Deep Neural Network Models for Query Performance Prediction 2019 VLDB 0.0001650812
1,279 AI Meets AI: Leveraging Query Executions to Improve Index Recommendations 2019 SIGMOD 0.00011361878
1,573 Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries 2020 SIGMOD 0.00010328171
2,313 Active Learning for ML Enhanced Database Systems 2020 SIGMOD 8.762627e-05
2,812 Query Performance Prediction for Concurrent Queries using Graph Embedding 2020 VLDB 8.0979597e-05
3,213 Estimating Cardinalities with Deep Sketches 2019 SIGMOD 7.6328677e-05
3,351 RHEEM: Enabling Cross-Platform Data Processing - May The Big Data Be With You! - 2018 VLDB 7.4937347e-05
5,287 PREDIcT: Towards Predicting the Runtime of Large Scale Iterative Analytics 2013 VLDB 6.2815429e-05
5,537 Uncertainty Aware Query Execution Time Prediction 2014 VLDB 6.1820087e-05
5,859 Active Learning of GAV Schema Mappings 2018 PODS 6.0637959e-05
8,125 Learning Table Access Cardinalities with LEO 2002 SIGMOD 5.4829273e-05
9,983 Rheem: Enabling Multi-Platform Task Execution 2016 SIGMOD 5.1844786e-05
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# Overall Rank Paper Year Venue
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2 1,250 Data Management in Machine Learning: Challenges, Techniques, and Systems 2017 SIGMOD
3 6,357 A Unified Transferable Model for ML-Enhanced DBMS 2022 CIDR
4 8,676 Machine Learning for Data Management: Problems and Solutions 2018 SIGMOD
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