SQLFlow: A Bridge between SQL and Machine Learning

doi:doi:10.57702/wtndrudq

SQLFlow: A Bridge between SQL and Machine Learning

Industrial AI systems are mostly end-to-end machine learning (ML) workflows. A typical recommendation or business intelligence system includes many online micro-services and offline jobs. We describe SQLFlow for developing such workflows efficiently in SQL.

BibTex:

@dataset{Yi_Wang_and_Yang_Yang_and_Wei_Yan_and_Mingjie_Tang_and_Yuan_Tang_and_Weiguo_Zhu_and_Yi_Wu_and_Xu_Yan_and_Yongfeng_Liu_and_Yu_Wang_and_Liang_Xie_and_Ziyao_Gao_and_Wenjing_Zhu_and_Xiang_Chen_2025,
    abstract = {Industrial AI systems are mostly end-to-end machine learning (ML) workflows. A typical recommendation or business intelligence system includes many online micro-services and offline jobs. We describe SQLFlow for developing such workflows efficiently in SQL.},
    author = {Yi Wang and Yang Yang and Wei Yan and Mingjie Tang and Yuan Tang and Weiguo Zhu and Yi Wu and Xu Yan and Yongfeng Liu and Yu Wang and Liang Xie and Ziyao Gao and Wenjing Zhu and Xiang Chen},
    doi = {10.57702/wtndrudq},
    institution = {No Organization},
    keyword = {'Data Science', 'Industrial AI', 'Machine Learning', 'SQLFlow'},
    month = {jan},
    publisher = {TIB},
    title = {SQLFlow: A Bridge between SQL and Machine Learning},
    url = {https://service.tib.eu/ldmservice/dataset/sqlflow--a-bridge-between-sql-and-machine-learning},
    year = {2025}
}