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Há 4 dias · At Berkeley in the early '70s, post-doctorate Michael Stonebraker and fellow computer scientist Eugene Wong began a project to build Ingres, another early relational database, at the same time as System R. With it, they developed their own query language, QUEL.
23 de mai. de 2024 · The POSTGRES project, led by Professor Michael Stonebraker, was sponsored by the Defense Advanced Research Projects Agency (DARPA), the Army Research Office (ARO), the National Science Foundation (NSF), and ESL, Inc. The implementation of POSTGRES began in 1986.
28 de mai. de 2024 · It was first awarded in 1992 to MIT EECS adjunct professor and CSAIL member Michael Stonebraker. As the most recent recipient of this prize, Madden currently leads the Data Systems Group at MIT and the Data Science and AI Lab (DSAIL).
11 de mai. de 2024 · Michael Stonebraker and Ihab F Ilyas. 2018. Data Integration: The Current Status and the Way Forward. Bulletin of the IEEE Computer Society Technical Committee on Data Engineering 41, 2 (2018), 3–9. Google Scholar; John R Talburt, Awaad K. Sarkhi, Leon Claassens, Daniel Pullen, and Richard Wang. 2020.
12 de mai. de 2024 · PostgreSQL documentation: A Brief History of PostgreSQL. "Looking Back at Postgres" - sample chapter by Joseph M. Hellerstein from the book "Making Databases Work The Pragmatic Wisdom of Michael Stonebraker" Wikipedia: PostgreSQL > History. An Illustrated History of Postgres (QL) - 2017 presentation (PDF) by Peter van Hardenberg.
Há 5 dias · Michael Stonebraker and Lawrence A Rowe. 1986. The design of Postgres. ACM Sigmod Record 15, 2 (1986), 340--355. Google Scholar Digital Library; Ilya Sutskever, Oriol Vinyals, and Quoc V Le. 2014. Sequence to sequence learning with neural networks. Advances in neural information processing systems 27 (2014), 3104--3112. Google Scholar
Há 6 dias · Abstract. Storage-compute disaggregation has recently emerged as a novel architecture in modern data centers, particularly in the cloud. By decoupling compute from storage, this new architecture enables independent and elastic scaling of compute and storage resources, potentially increasing resource utilization and reducing overall ...
