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LakeCompass: An End-to-End System for Data Maintenance, Search and Analysis in Data Lakes

Summary: LakeCompass is an end-to-end data-lake system combining table maintenance with indexed keyword, joinable, and unionable search. It iteratively integrates discovered tables to improve downstream ML, exposed through Python APIs and a Web interface. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
13850
Venue
VLDB
Year
2024
Pagerank
5.5817761e-05
Overall Rank
7,613 | 47.77%
DOI
10.14778/3685800.3685880

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{chai_vldb24,
        title = {{LakeCompass: An End-to-End System for Data Maintenance, Search and Analysis in Data Lakes}},
        author = {Chai, Chengliang and Deng, Yuhao and Zhan, Yutong and Cao, Ziqi and Zhang, Yuanfang and Cao, Lei and Wang, Yuping and Zhang, Zhiwei and Yuan, Ye and Wang, Guoren and Tang, Nan},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {12},
        pages = {4381--4384},
        doi = {10.14778/3685800.3685880},
        url = {https://doi.org/10.14778/3685800.3685880},
        year = {2024}
}

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