Journal: SIGMOD Record

Volume 51, Issue 4

6 -- 17Bas Ketsman, Christoph Koch 0001, Frank Neven, Brecht Vandevoort. Concurrency control for database theorists
18 -- 35Marius Schlegel, Kai-Uwe Sattler. Management of Machine Learning Lifecycle Artifacts: A Survey
36 -- 41Michael 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
42 -- 44Tilmann Rabl. Reminiscences on Influential Papers
45 -- 48Laks V. S. Lakshmanan. Mid-Career Researcher, huh?: What just Changed?
49 -- 53Efthimia Aivaloglou, George Fletcher 0001, Michael Liut, Daphne Miedema. Report on the First International Workshop on Data Systems Education (DataEd '22)
54 -- 55Holger Pirk. Collaborative Data Science using Scalable Homoiconicity
56 -- 59Chenggang Wu 0001. Chenggang Wu Speaks Out on his ACM SIGMOD Jim Gray Dissertation Award, Rejection, Believing in Your Work, and More
60 -- 67Yuanyuan Tian. The World of Graph Databases from An Industry Perspective
68 -- 73Michael Perscheid, Hasso Plattner, Daniel Ritter 0001, Rainer Schlosser, Ralf Teusner. Enterprise Platform and Integration Concepts Research at HPI
74 -- 78Sourav S. Bhowmick. How Connected Are Our Conference Review Boards?

Volume 51, Issue 3

6 -- 17Marcelo Arenas, Luis Alberto Croquevielle, Rajesh Jayaram, Cristian Riveros. Counting the Answers to a Query
18 -- 29Santiago Andrés Azcoitia, Nikolaos Laoutaris. A Survey of Data Marketplaces and Their Business Models
30 -- 37Javen Kennedy, Pranav Subramaniam, Sainyam Galhotra, Raul Castro Fernandez. Revisiting Online Data Markets in 2022: A Seller and Buyer Perspective
38 -- 39Fatma Özcan, Yuanyuan Tian. Reminiscences on Influential Papers
40 -- 42Anastasia Ailamaki. The Formidable Mid-Career Crisis
43 -- 46Arun Kumar 0001, Alin Deutsch, Amarnath Gupta, Yannis Papakonstantinou, Babak Salimi, Victor Vianu. Database Education at UC San Diego
47 -- 48Oana Balmau. Characterizing I/O in Machine Learning with MLPerf Storage
49 -- 55Alekh Jindal, Jyoti Leeka. Query Optimizer as a Service: An Idea Whose Time Has Come!
56 -- 58Arun Kumar, Alon Y. Halevy, Nesime Tatbul. VLDB Scalable Data Science Category: The Inaugural Year

Volume 51, Issue 2

6 -- 17Mahmoud Abo Khamis, Hung Q. Ngo 0001, Reinhard Pichler, Dan Suciu, Yisu Remy Wang. Datalog in Wonderland
18 -- 29Dev Dave, Angelica Celestino, Aparna S. Varde, Vaibhav K. Anu. Management of Implicit Requirements Data in Large SRS Documents: Taxonomy and Techniques
30 -- 37Fotis Psallidas, Yiwen Zhu, Bojan Karlas, Jordan Henkel, Matteo Interlandi, Subru Krishnan, Brian Kroth, K. Venkatesh Emani, Wentao Wu 0001, Ce Zhang 0001, Markus Weimer, Avrilia Floratou, Carlo Curino, Konstantinos Karanasos. Data Science Through the Looking Glass: Analysis of Millions of GitHub Notebooks and ML.NET Pipelines
38 -- 43Dhrubajyoti Ghosh, Peeyush Gupta, Sharad Mehrotra, Shantanu Sharma 0001. A Case for Enrichment in Data Management Systems
44 -- 46M. Tamer Özsu. Reminiscences on Influential Papers
47 -- 48David Maier 0001. Deciding What Not to Do
49 -- 51André De Waal, Ana Echeverri. OpenDS4All: Accelerating the Creation of Data Science Curricula at Academic Institutions
52 -- 60Alan D. Fekete, Uwe Röhm. Teaching about Data and Databases: Why, What, How?
61 -- 62Raja Appuswamy. Towards Passive, Migration-Free, Standardized, Long-Term Database Archival
63 -- 68Reynold Cheng, Chenhao Ma, Xiaodong Li 0009, 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
69 -- 73Sihem 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 0001. Diversity and Inclusion Activities in Database Conferences: A 2021 Report
74 -- 77Manos Athanassoulis, Peter Triantafillou, Raja Appuswamy, Rajesh Bordawekar, Badrish Chandramouli, Xuntao Cheng, Ioana Manolescu, Yannis Papakonstantinou, Nesime Tatbul. Artifacts Availability & Reproducibility (VLDB 2021 Round Table)

Volume 51, Issue 1

5 -- 0Volker Markl. Making Learned Query Optimization Practical: A Technical Perspective
6 -- 13Ryan Marcus, Parimarjan Negi, Hongzi Mao, Nesime Tatbul, Mohammad Alizadeh, Tim Kraska. Bao: Making Learned Query Optimization Practical
14 -- 0Gustavo Alonso. Technical perspective: DFI: The Data Flow Interface for High-Speed Networks
15 -- 22Lasse Thostrup, Jan Skrzypczak, Matthias Jasny, Tobias Ziegler 0001, Carsten Binnig. DFI: The Data Flow Interface for High-Speed Networks
23 -- 0Alfons Kemper. Technical Perspective: FoundationDB: A Distributed Unbundled Transactional Key Value Store
24 -- 31Jingyu 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
32 -- 0Paolo Papotti. Technical Perspective of TURL: Table Understanding through Representation Learning
33 -- 40Xiang Deng 0001, Huan Sun, Alyssa Lees, You Wu 0001, Cong Yu 0001. TURL: Table Understanding through Representation Learning
41 -- 0Aidan Hogan. Technical Perspective - No PANE, No Gain: Scaling Attributed Network Embedding in a Single Server
42 -- 49Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang 0001, Sourav S. Bhowmick, Juncheng Liu. No PANE, No Gain: Scaling Attributed Network Embedding in a Single Server
50 -- 0Nikos Mamoulis. Technical Perspective: Bipartite Matching: What to do in the Real World When Computing Assignment Costs Dominates Finding the Optimal Assignment
51 -- 58Tenindra Abeywickrama, Victor Liang, Kian-Lee Tan. Bipartite Matching: What to do in the Real World When Computing Assignment Costs Dominates Finding the Optimal Assignment
59 -- 0Bill Howe. Technical Perspective: Imperative or Functional Control Flow Handling: Why not the Best of Both Worlds?
60 -- 67Gábor 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?
68 -- 0Rasmus Pagh. Technical Perspective: Relative Error Streaming Quantiles
69 -- 76Graham Cormode, Zohar Karnin, Edo Liberty, Justin Thaler, Pavel Veselý. Relative Error Streaming Quantiles
77 -- 0Mihalis Yannakakis. Technical Perspective: Structure and Complexity of Bag Consistency
78 -- 85Albert Atserias, Phokion G. Kolaitis. Structure and Complexity of Bag Consistency
86 -- 0David P. Woodruff. Technical Perspective: Model Counting Meets Distinct Elements in a Data Stream
87 -- 94A. Pavan 0001, N. V. Vinodchandran, Arnab Bhattacharyya 0001, Kuldeep S. Meel. Model Counting Meets Distinct Elements in a Data Stream