SIGMOD 2024 Industrial Track: Accepted Papers
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Apache Arrow DataFusion: A Fast, Embeddable, Modular Analytic Query Engine
Andrew Lamb (InfluxData); Yijie Shen (Space and Time); Daniël Heres (Coralogix); Jayjeet Chakraborty (UC Santa Cruz); Mehmet Ozan Kabak (Synnada); Liang-Chi Hsieh (Apple); Chao Sun (Apple)
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Unified Query Optimization in the Fabric Data Warehouse
Nicolas Bruno (Microsoft); Cesar A Galindo-Legaria (Microsoft); Milind Joshi (Microsoft);
Esteban Calvo (Microsoft); Kabita Mahapatra (Microsoft); Sharon Ravindran (Microsoft);
Guoheng Chen (Microsoft); Ernesto Cervantes Juarez (Microsoft); Beysim Sezgin (Microsoft)
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Similarity Joins of Sparse Features
Ahmed H Metwally (Uber); Michael Shum (MIT)
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Proactive Resume and Pause of Resources for Microsoft Azure SQL Database Serverless
Olga Poppe (Microsoft); Pankaj Arora (Microsoft); Sakshi Sharma (Microsoft); Jie Chen (Microsoft);
Willis Lang (Microsoft); Qun Guo (Microsoft); Sachin Pandit (Microsoft); Vaishali Jhalani (Microsoft);
Rahul Sawhney (Microsoft); Anupriya Inumella (Microsoft); Sanjana Dulipeta Sridhar (Microsoft);
Dheren Gala (Microsoft); Nilesh Rathi (Microsoft); Morgan Oslake (Microsoft); Alexandru Chirica (Microsoft);
Sarika Iyer (Microsoft); Prateek Goel (Microsoft); Ajay Kalhan (Microsoft)
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Rock: Cleaning Data by Embedding ML in Logic Rules
Xianchun Bao (sics); Zian Bao (SICS); Bie Binbin (Shenzhen Institute of Computing Science);
QingSong Duan (Shenzhen Institute of Computing Science); Wenfei Fan (Univ. of Edinburgh); Hui Lei (SICS);
Daji Li (Shenzhen Institute of Computing Science); Wei Lin (Shenzhen Institute of Computing Science); Peng Liu
(Shenzhen Institute of Computing Science); Lv Zhicong (Shenzhen Institute of Computing Science); Mingliang Ouyang
(Shenzhen Institute of Computing Science); Tang Shuai (Shenzhen Institute of Computing Science); Yaoshu Wang (Shenzhen Institute of Computing Sciences, Shenzhen University);
Qiyuan Wei (Shenzhen Institute of Computing Sciences); Min Xie (Shenzhen Institute of Computing Sciences);
Jing Zhang (Shenzhen Institute of Computing Science); Zhang Xin (Shenzhen Institute of Computing Science);
Zhao Runxiao (Shenzhen Institute of Computing Science); Zhou Shuping (Shenzhen Institute of Computing Science)
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BG3: A Cost Effective and I/O Efficient Graph Database in Bytedance
wei zhang (bytedance); cheng chen (bytedance); Qiange Wang (National University of Singapore);
wei wang (bytedance); shijiao yang (bytedance); bingyu zhou (bytedance); huiming zhu (bytedance);
Chao Chen (ByteDance); yongjun zhao (bytedance); Yingqian HU (ByteDance); miaomiao cheng (bytedance);
Meng LI (ByteDance); Hongfei Tan (ByteDance); Mengjin Liu (ByteDance); hexiang lin (bytedance);
Shuai Zhang (Bytedance); Lei Zhang (ByteDance)
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SQL with Measures
Julian Hyde (Google); John Fremlin (Google)
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FinSQL: Model-Agnostic LLMs-based Text-to-SQL Framework for Financial Analysis
Chao Zhang (Zhejiang University); Yuren Mao (Zhejiang University); Yijiang Fan (Zhejiang University); Yu Mi (Zhejiang University);
Yunjun Gao (Zhejiang University); Lu Chen (Zhejiang University); Dongfang Lou (Hundsun Technologies INC.); Jinshu Lin (Hundsun Research Institute)
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ByteCard: Enhancing ByteDance's Data Warehouse with Learned Cardinality Estimation
Yuxing Han (ByteDance); WangHaoYu WangHaoYu (ByteDance); Lixiang Chen (Bytedance); Yifeng Dong (ByteDance);
Xing Chen (ByteDance); Benquan Yu (Bytedance); Chengcheng Yang (East China Normal University); Weining Qian (East China Normal University)
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PolarDB-MP: A Multi-Primary Cloud-Native Database via Disaggregated Shared Memory
xinjun Yang (Alibaba Group); Yingqiang Zhang (Alibaba Group); Hao Chen (Alibaba Group);
Feifei Li (Alibaba Group); Bo Wang (Alibaba Group); Jing Fang (Alibaba Group); Chuan Sun (Alibaba Group); Yuhui Wang (Alibaba Group)
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Vertically Autoscaling Monolithic Applications with CaaSPER: Scalable Container-as-a-Service Performance Enhanced Resizing Algorithm for the Cloud
Anna Pavlenko (Microsoft Gray Systems Lab); Joyce Cahoon (Microsoft); Yiwen Zhu (Microsoft); Brian Kroth (Microsoft); Michael Nelson (Microsoft);
Andrew Carter (Microsoft); David Liao (Microsoft); Travis Wright (Microsoft); Jesús Camacho-Rodríguez (Microsoft); Karla Saur (Microsoft)
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Automated Multidimensional Data Layouts in Amazon Redshift
Jialin Ding (Amazon Web Services); Matt Abrams (AWS); Sanghita Bandyopadhyay (AWS); Luciano Di Palma (AWS); Yanzhu Ji (AWS); Davide Pagano (AWS);
Gopal Paliwal (AWS); Panos Parchas (AWS); Pascal Pfeil
(Amazon Web Services ); Orestis Polychroniou (Amazon); Gaurav Saxena (Amazon); Aamer Shah (AWS);
Amina Voloder (AWS); Sherry Xiao (AWS); Davis Zhang (AWS); Tim Kraska (AWS)
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Amazon MemoryDB: A Fast and Durable Memory-First Cloud Database
Yacine Taleb (AWS); Kevin Mcgehee (AWS); Nan Yan (AWS); Shawn Wang (AWS); Stefan Mueller (AWS); Allen Samuels (AWS)
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Flux: Decoupled Auto-Scaling for Heterogeneous Query Workload in Alibaba AnalyticDB
Wei Li (Alibaba Group); Jiachi Zhang (Alibaba Group); Ye Yin (AlibabaCloud); Yan Li (Alibaba Group);
Zhanyang Zhu (Alibaba Group); Wenchao Zhou (Alibaba Group); Liang Lin (Alibaba); Feifei Li (Alibaba Group)
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TimeCloth: Fast Point-in-Time Database Recovery in The Cloud
Jianjun Deng (Alibaba Group); Jianan Lu (Princeton University); Hua Fan (Alibaba Group);
Chaoyang Liu (Alibaba Group Hangzhou); Shi Cheng (Alibaba Cloud); Cuiyun Fu (Alibaba Group); Wenchao Zhou (Alibaba Group)
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GraphScope Flex: LEGO-like Graph Computing Stack
Tao He (Alibaba Group); Shuxian Hu (Alibaba Group); Longbin Lai (Alibaba Group); Dongze Li (Alibaba Group);
Neng Li (Alibaba); Xue Li (Alibaba Group); Lexiao Liu (Alibaba Group); Luo Xiaojian (Alibaba group);
Bingqing Lyu (Alibaba Group); Ke Meng (Alibaba Group); Sijie Shen (Alibaba Group); Li Su (Alibaba Group);
Lei Wang (Alibaba Group); Jingbo Xu (Alibaba Group);
Wenyuan Yu (Alibaba Group); Weibin Zeng (Alibaba); Lei Zhang (Alibaba); Siyuan Zhang (Alibaba Group);
Jingren Zhou (Alibaba Group); XiaoLi Zhou (阿里巴巴); Diwen Zhu (Alibaba)
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Bouncer: Admission Control with Response Time Objectives for Low-latency Online Data Systems
Hao Xu (LinkedIn); Juan Colmenares (LinkedIn)
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Data-Juicer: A One-Stop Data Processing System for Large Language Models
Daoyuan Chen (Alibaba Group); Yilun Huang (Alibaba Group); Ma Zhijian (Alibaba Group);
Hesen Chen (Alibaba Group); Xuchen Pan (Alibaba Group); Ce Ge (Alibaba Group); Dawei Gao (Alibaba-inc); Yuexiang Xie (Alibaba Group);
Zhaoyang Liu (Alibaba Group); Jinyang Gao (Alibaba Group); Yaliang Li (Alibaba Group);
Bolin Ding ("Data Analytics and Intelligence Lab, Alibaba Group"); Jingren Zhou (Alibaba Group)
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PG-Triggers: Triggers for Property Graphs
Stefano Ceri (Politecnico di Milano); Anna Bernasconi (Politecnico di Milano);
Alessia Ms. Gagliardi (Politecnico di Milano);
Davide Martinenghi (Politecnico di Milano); Luigi Bellomarini (Banca d'Italia);
Davide Magnanimi (Banca d'Italia)
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ESTELLE: An Efficient and Cost-effective Cloud Log Engine
Yupu Zhang (University of Electronic Science and Technology of China); GuangLin Cong
(Cloud Database Innovation Lab of Cloud BU, Huawei Technologies Co., Ltd.); Jihan Qu
(University of Electronic Science and Technology of China); Xu Ran (Huawei); Yuan Fu (University of Electronic Science and Technology of China); Weiqi Li
(Cloud Database Innovation Lab of Cloud BU, Huawei Technologies Co., Ltd.); Feiran Hu
(Cloud Database Innovation Lab of Cloud BU, Huawei Technologies Co., Ltd.);
Jing Liu (Cloud Database Innovation Lab of Cloud BU, Huawei Technologies Co., Ltd.); Wenliang Zhang
(Cloud Database Innovation Lab of Cloud BU, Huawei Technologies Co., Ltd.); Kai Zheng (University of Electronic Science and Technology of China)
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BigLake: BigQuery's Evolution toward a Multi-Cloud Lakehouse
Justin Levandoski (Google); Garrett Casto (Google); Mingge Deng (Google); Rushabh Desai (Google); Pavan Edara (Google); Thibaud Hottelier (Google); Amir Hormati (Google);
Anoop Johnson (Google); Jeff Johnson (Google); Dawid Kurzyniec (Google); Sam McVeety (Google); Prem Ramanathan (Google);
Gaurav Saxena (Google); Vidya Shanmugan (Google); Yuri Volobuev (Google)
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The Hopsworks Feature Store for Machine Learning
Javier de la Rúa Martínez (Hopsworks AB and KTH Royal Institute of Technology); Fabio Buso (Hopsworks AB); Antonios Kouzoupis (Hopsworks AB);
Alexandru A. Ormenisan (Hopsworks AB); Davit Bzhalava (Hopsworks AB); Salman Niazi (Hopsworks AB); Kenneth Mak (Hopsworks AB);
Victor Jouffrey (Hopsworks AB); Mikael Ronström (Hopsworks AB); Ralfs Zangis (Hopsworks AB); Dhananjay Mukhedkar (Hopsworks AB);
Raymond Cunningham (Hopsworks AB); Ayushman Khazanchi
(KTH Royal Institute of Technology); Vladimir Vlassov (KTH Royal Institute of Technology, Stockholm, Sweden);
Jim Dowling (KTH Royal Institute of Technology and Hopsworks AB)
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LETUS: A Log-Structured Efficient Trusted Universal BlockChain Storage
Shikun Tian (Ant Group); Zhonghao Lu (Ant Group); Haizhen Zhuo (Ant Group); XiaoJing Tang (Ant Group);
Peiyi Hong (Ant Group); shenglong chen (Ant Group); Dayi Yang (Ant Group);
Ying Yan (Ant Group); Zhiyong Jiang (Ant group); Hui Zhang (Ant Group); Guofei Jiang (Ant Group)
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Stage: Query Execution Time Prediction in Amazon Redshift
Ziniu Wu (Massachusetts Institute of Technology); Ryan Marcus (University of Pennsylvania); Zhengchun Liu (Amazon);
Parimarjan Negi (MIT CSAIL); Vikram Nathan (MIT); Pascal Pfeil (Amazon Web Services );
Gaurav Saxena (Amazon); Mohammad Rahman (Amazon Web Services); Balakrishnan Narayanaswamy (Amazon); Tim Kraska (MIT)
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Extending Polaris to Support Transactions
Josep Aguilar Saborit (Microsoft); Alan Halverson (Microsoft); Raghu Ramakrishnan (Microsoft); Kevin Bocksrocker (Microsoft)
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Native Cloud Object Storage in Db2 Warehouse: Implementing a Fast and Cost-Efficient Cloud Storage Architecture
David Kalmuk (IBM Analytics); Christian Garcia-Arellano (IBM Canada); Ronald Barber (IBM Research); Richard Sidle (IBM Research);
Kostas Rakopoulos (IBM Canada); Hamdi Roumani (IBM Canada); William Minor (IBM Canada); Alexander Cheung (IBM Canada);
Robert C. Hooper (IBM Canada); Matthew Emmerton (IBM Canada); Zach Hoggard (IBM Canada); Scott Walkty (IBM Canada);
Patrick Perez (IBM Canada); Aleksandrs Santars (IBM Canada); Michael Chen (IBM Canada);
Matthew Olan (IBM Canada); Daniel Zilio (IBM Canada); Imran Sayyid (IBM Canada); Humphrey Li (IBM Canada);
Ketan Rampurkar (IBM Canada); Krishna K. Ramachandran (IBM); Yiren Shen (IBM Canada)
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Intelligent Scaling in Amazon Redshift
Vikram Nathan (Amazon, Inc.); Vikramank Y Singh (Amazon); Zhengchun Liu (Amazon); Mohammad Rahman (Amazon, Inc.);
Andreas Kipf (UTN); Dominik Horn (Amazon, Inc.); Davide Pagano (Amazon, Inc.);
Gaurav Saxena (Amazon); Balakrishnan Narayanaswamy (Amazon); Tim Kraska (AWS)
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Predicate Caching: Query-Driven Secondary Indexing for Cloud Data Warehouses
Tobias Schmidt (TUM); Andreas Kipf (UTN); Dominik Horn (Amazon Web Services); Gaurav Saxena (Amazon); Tim Kraska (AWS)
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Vortex: A Stream-oriented Storage Engine For Big Data Analytics
Pavan Edara (Google); Jonathan Forbesj (Google); BIGANG LI (Google GCP)
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Automated Clustering Recommendation With Database Zone Maps
Suratna Budalakoti (Oracle Corporation);
Mohamed Ziauddin (Oracle USA); Andrew Witkowski (Oracle Corporation);
You Jung Kim (Oracle Corporation); Ramarajan Krishnamachari (Oracle Corporation); Alan Wood (Oracle Labs)
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COSMO: A Large-Scale E-commerce Common Sense Knowledge Generation and Serving System at Amazon
Changlong Yu (HKUST); Xin Liu (Hong Kong University of Science and Technology); Jefferson Maia (Amazon); Tianyu Cao (Amazon); Yang Li (Amazon);
Yifan Gao (The Chinese University of Hong Kong);
Yangqiu Song (Hong Kong University of Science and Technology); Rahul Goutam (Amazon); Haiyang Zhang (Amazon); Bing Yin (Amazon); Zheng Li (Amazon)
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NPA: Improving Large-scale Graph Neural Networks with Non-parametric Attention
Wentao Zhang (Peking University); Guochen Yan (Peking University); Yu Shen (Peking University); Ling Yang (Peking University);
Yangyu Tao (Tencent); Bin Cui (Peking University); Jian Tang (HEC Montreal; Mila)