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Duke Database Devils will be virtually there at SIGMOD/PODS 2021 with our papers and other events!

PODS'21: Cover or Pack: New Upper and Lower Bounds for Massively Parallel Joins Xiao Hu
PODS'21: Algorithms for a Topology-aware Massively Parallel Computation Model Xiao Hu, Paraschos Koutris, and Spyros Blanas
SIGMOD'21:Putting Things into Context: Rich Explanations for QueryAnswers using Join Graphs Chenjie Li, Zhengjie Miao, Qitian Zeng, Boris Glavic, Sudeepa Roy
SIGMOD'21: Rotom: A Meta-Learned Data Augmentation Framework for Entity Matching, Data Cleaning, Text Classification, and Beyond Zhengjie Miao, Yuliang Li, Xiaolan Wang
SIGMOD'21: Synthesizing Linked Data Under Cardinality and Integrity Constraints Amir Gilad, Shweta Patwa, Ashwin Machanavajjhala
SIGMOD'21: On Optimizing the Trade-off between Privacy and Utility in Data Provenance Daniel Deutch, Ariel Frankenthal, Amir Gilad, Yuval Moskovitch
SIGMOD'21: DP-Sync: Hiding Update Patterns in Secure Outsourced Databases with Differential Privacy Chenghong Wang, Johes Bater, Kartik Nayak, Ashwin Machanavajjhala
SIGMOD'21: Efficiently answering durability prediction queries
Junyang Gao, Yifan Xu, Pankaj Agarwal, and Jun Yang
SIGMOD'21: Properties of Inconsistency Measures for Databases Ester Livshits, Rina Kochirgan, Segev Tsur, Ihab Ilyas, Benny Kimelfeld, and Sudeepa Roy

SIGMOD Test-of-Time Award: No free lunch in data privacy by Daniel Kifer, Ashwin Machanavajjhala. Congrats to Ashwin!