The Asilomar Report on Database Research
Phil Bernstein, Michael Brodie, Stefano Ceri, David DeWitt, Mike Franklin, Hector Garcia-Molina, Jim Gray, Jerry Held, Joe Hellerstein, H. V. Jagadish, Michael Lesk, Dave Maier, Jeff Naughton, Hamid Pirahesh, Mike Stonebraker, Jeff Ullman
Abstract
The database research community is rightly proud of success in basic research, and its remarkable record of technology transfer. Now the field needs to radically broaden its research focus to attack the issues of capturing, storing, analyzing, and presenting the vast array of online data. The database research community should embrace a broader research agenda -- broadening the definition of database management to embrace all the content of the Web and other online data stores, and rethinking our fundamental assumptions in light of technology shifts. To accelerate this transition, we recommend changing the way research results are evaluated and presented. In particular, we advocate encouraging more speculative and long-range work, moving conferences to a poster format, and publishing all research literature on the Web.
Create a lesson
Related papers
ML Engineering Agents - A Data Management Perspective
Arnab Phani, Elias Strauss, Tim Schuster et al.
GQL Datatypes as an RDF Vocabulary
Dominik Tomaszuk, Daniel Szałaj
CellChain: Benchmarking Cross-Scale Evidence Use for Perturbation Reasoning
Xue Xia, Yue Wang, Shuizhou Chen et al.
SemReuse: Certified Reuse of Cached Natural-Language Views for Semantic Operators
Phat T. Tran-Truong, Tung Kieu, Xuan-Bach Le et al.
The Case for Single-Version Concurrency Control in the Cloud
Lam-Duy Nguyen, Gabriel Haas, Muhammad El-Hindi et al.
Join Order Enumeration and Optimization for Double-Star and Helix Join Graphs
Ansh Taneja, Ryan Marcus