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ORCIDSIGMOD Record, Volume 51
Volume 51, Number 1, March 2022
- Volker Markl:
Making Learned Query Optimization Practical: A Technical Perspective. 5 - Ryan Marcus, Parimarjan Negi, Hongzi Mao, Nesime Tatbul, Mohammad Alizadeh, Tim Kraska:
Bao: Making Learned Query Optimization Practical. 6-13 - Gustavo Alonso:
Technical perspective: DFI: The Data Flow Interface for High-Speed Networks. 14 - Lasse Thostrup, Jan Skrzypczak, Matthias Jasny, Tobias Ziegler, Carsten Binnig
:
DFI: The Data Flow Interface for High-Speed Networks. 15-22 - Alfons Kemper:
Technical Perspective: FoundationDB: A Distributed Unbundled Transactional Key Value Store. 23 - Jingyu Zhou, Meng Xu, Alexander Shraer, Bala Namasivayam, Alex Miller, Evan Tschannen, Steve Atherton, Andrew J. Beamon, Rusty Sears, John Leach, Dave Rosenthal, Xin Dong, Will Wilson, Ben Collins, David Scherer, Alec Grieser, Young Liu, Alvin Moore, Bhaskar Muppana, Xiaoge Su, Vishesh Yadav:
FoundationDB: A Distributed Key Value Store. 24-31 - Paolo Papotti:
Technical Perspective of TURL: Table Understanding through Representation Learning. 32 - Xiang Deng, Huan Sun, Alyssa Lees, You Wu, Cong Yu:
TURL: Table Understanding through Representation Learning. 33-40 - Aidan Hogan:
Technical Perspective - No PANE, No Gain: Scaling Attributed Network Embedding in a Single Server. 41 - Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Sourav S. Bhowmick, Juncheng Liu:
No PANE, No Gain: Scaling Attributed Network Embedding in a Single Server. 42-49 - Nikos Mamoulis:
Technical Perspective: Bipartite Matching: What to do in the Real World When Computing Assignment Costs Dominates Finding the Optimal Assignment. 50 - Tenindra Abeywickrama, Victor Liang, Kian-Lee Tan:
Bipartite Matching: What to do in the Real World When Computing Assignment Costs Dominates Finding the Optimal Assignment. 51-58 - Bill Howe:
Technical Perspective: Imperative or Functional Control Flow Handling: Why not the Best of Both Worlds? 59 - Gábor E. Gévay, Tilmann Rabl, Sebastian Breß, Lorand Madai-Tahy, Jorge-Arnulfo Quiané-Ruiz, Volker Markl:
Imperative or Functional Control Flow Handling: Why not the Best of Both Worlds? 60-67 - Rasmus Pagh:
Technical Perspective: Relative Error Streaming Quantiles. 68 - Graham Cormode, Zohar S. Karnin, Edo Liberty, Justin Thaler, Pavel Veselý:
Relative Error Streaming Quantiles. 69-76 - Mihalis Yannakakis:
Technical Perspective: Structure and Complexity of Bag Consistency. 77 - Albert Atserias, Phokion G. Kolaitis:
Structure and Complexity of Bag Consistency. 78-85 - David P. Woodruff:
Technical Perspective: Model Counting Meets Distinct Elements in a Data Stream. 86 - Aduri Pavan, N. V. Vinodchandran, Arnab Bhattacharyya, Kuldeep S. Meel:
Model Counting Meets Distinct Elements in a Data Stream. 87-94
Volume 51, Number 2, June 2022
- Mahmoud Abo Khamis, Hung Q. Ngo, Reinhard Pichler, Dan Suciu, Yisu Remy Wang:
Datalog in Wonderland. 6-17
- Dev Dave, Angelica Celestino, Aparna S. Varde, Vaibhav K. Anu:
Management of Implicit Requirements Data in Large SRS Documents: Taxonomy and Techniques. 18-29
- Fotis Psallidas, Yiwen Zhu, Bojan Karlas, Jordan Henkel, Matteo Interlandi, Subru Krishnan, Brian Kroth, K. Venkatesh Emani, Wentao Wu, Ce Zhang, Markus Weimer, Avrilia Floratou, Carlo Curino, Konstantinos Karanasos:
Data Science Through the Looking Glass: Analysis of Millions of GitHub Notebooks and ML.NET Pipelines. 30-37 - Dhrubajyoti Ghosh, Peeyush Gupta, Sharad Mehrotra, Shantanu Sharma:
A Case for Enrichment in Data Management Systems. 38-43
- M. Tamer Özsu:
Reminiscences on Influential Papers. 44-46
- David Maier:
Deciding What Not to Do. 47-48
- André De Waal, Ana Echeverri:
OpenDS4All: Accelerating the Creation of Data Science Curricula at Academic Institutions. 49-51 - Alan D. Fekete, Uwe Röhm:
Teaching about Data and Databases: Why, What, How? 52-60
- Raja Appuswamy:
Towards Passive, Migration-Free, Standardized, Long-Term Database Archival. 61-62
- Reynold Cheng, Chenhao Ma, Xiaodong Li, Yixiang Fang, Ye Liu, Victor Y. L. Wong, Esther Lee, Tai Hing Lam, Sai Yin Ho, Man Ping Wang, Weijie Gong, Wentao Ning, Ben Kao:
The Social Technology and Research (STAR) Lab in the University of Hong Kong. 63-68
- Sihem Amer-Yahia, Yael Amsterdamer, Sourav S. Bhowmick, Angela Bonifati, Philippe Bonnet, Renata Borovica-Gajic, Barbara Catania, Tania Cerquitelli, Silvia Chiusano, Panos K. Chrysanthis, Carlo Curino, Jérôme Darmont, Amr El Abbadi, Avrilia Floratou, Juliana Freire, Alekh Jindal, Vana Kalogeraki, Georgia Koutrika, Arun Kumar, Sujaya Maiyya, Alexandra Meliou, Madhulika Mohanty, Felix Naumann, Nele Sina Noack, Fatma Özcan, Liat Peterfreund, Wenny Rahayu, Wang-Chiew Tan, Yuanyuan Tian, Pinar Tözün, Genoveva Vargas-Solar, Neeraja J. Yadwadkar, Meihui Zhang:
Diversity and Inclusion Activities in Database Conferences: A 2021 Report. 69-73 - Manos Athanassoulis, Peter Triantafillou, Raja Appuswamy, Rajesh Bordawekar, Badrish Chandramouli, Xuntao Cheng, Ioana Manolescu, Yannis Papakonstantinou, Nesime Tatbul:
Artifacts Availability & Reproducibility (VLDB 2021 Round Table). 74-77
Volume 51, Number 3, September 2022
- Marcelo Arenas, Luis Alberto Croquevielle, Rajesh Jayaram, Cristian Riveros:
Counting the Answers to a Query. 6-17 - Santiago Andrés Azcoitia, Nikolaos Laoutaris:
A Survey of Data Marketplaces and Their Business Models. 18-29 - Javen Kennedy, Pranav Subramaniam, Sainyam Galhotra, Raul Castro Fernandez:
Revisiting Online Data Markets in 2022: A Seller and Buyer Perspective. 30-37 - Fatma Özcan, Yuanyuan Tian:
Reminiscences on Influential Papers. 38-39 - Anastasia Ailamaki:
The Formidable Mid-Career Crisis. 40-42 - Arun Kumar, Alin Deutsch, Amarnath Gupta, Yannis Papakonstantinou, Babak Salimi, Victor Vianu:
Database Education at UC San Diego. 43-46 - Oana Balmau:
Characterizing I/O in Machine Learning with MLPerf Storage. 47-48 - Alekh Jindal, Jyoti Leeka:
Query Optimizer as a Service: An Idea Whose Time Has Come! 49-55 - Arun Kumar, Alon Y. Halevy, Nesime Tatbul:
VLDB Scalable Data Science Category: The Inaugural Year. 56-58
Volume 51, Number 4, December 2022
- Bas Ketsman, Christoph Koch, Frank Neven, Brecht Vandevoort:
Concurrency control for database theorists. 6-17 - Marius Schlegel, Kai-Uwe Sattler:
Management of Machine Learning Lifecycle Artifacts: A Survey. 18-35 - Michael Benedikt, Fergus R. Cooper, Stefano Germano, Gabor Gyorkei, Efthymia Tsamoura, Brandon Moore, Camilo Ortiz:
PDQ 2.0: Flexible Infrastructure for Integrating Reasoning and Query Planning. 36-41 - Tilmann Rabl:
Reminiscences on Influential Papers. 42-44 - Laks V. S. Lakshmanan:
Mid-Career Researcher, huh?: What just Changed? 45-48 - Efthimia Aivaloglou, George Fletcher, Michael Liut, Daphne Miedema:
Report on the First International Workshop on Data Systems Education (DataEd '22). 49-53 - Holger Pirk:
Collaborative Data Science using Scalable Homoiconicity. 54-55 - Chenggang Wu:
Chenggang Wu Speaks Out on his ACM SIGMOD Jim Gray Dissertation Award, Rejection, Believing in Your Work, and More. 56-59 - Yuanyuan Tian:
The World of Graph Databases from An Industry Perspective. 60-67 - Michael Perscheid, Hasso Plattner, Daniel Ritter, Rainer Schlosser, Ralf Teusner:
Enterprise Platform and Integration Concepts Research at HPI. 68-73 - Sourav S. Bhowmick:
How Connected Are Our Conference Review Boards? 74-78
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