Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Oliver Nicholas Seeliger"'
Autor:
Chris Beaver, Abraham Sebastian, Alexander Pachev, Swaroop Jgadish, Cuong Tran, Yun Sun, Bob Schulman, Aditya Auradar, Sajid Topiwala, Rupa Shanbhag, Lin Qiao, Oliver Nicholas Seeliger, Kapil Surlaker, David Zhang, Aditya Ramesh, Gregory Brandt, Subbu Subramaniam, Mihir Gandhi, Jemiah Westerman, Shirshanka Das, Zhen Zhang, Shi Lu, Wai Ip, Antony Curtis, Kishore Gopalakrishna, Thomas J. Quiggle, Bhaskar Ghosh
Publikováno v:
SIGMOD Conference
Espresso is a document-oriented distributed data serving platform that has been built to address LinkedIn's requirements for a scalable, performant, source-of-truth primary store. It provides a hierarchical document model, transactional support for m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55a51cb492aad5118778e83c200ad339
https://doi.org/10.1145/2463676.2465298
https://doi.org/10.1145/2463676.2465298
Autor:
Thomas J. Quiggle, Bhaskar Ghosh, Brendan Harris, Aditya A. Auradkar, Joel Koshy, Cuong Tran, Bob Schulman, Shi Lu, Lei Gao, Lin Qiao, Dave De Maagd, Roshan Rajesh Sumbaly, Chavdar Botev, Kishore Gopalakrishna, Igor Perisic, Alex Feinberg, Kapil Surlaker, Zach White, David Zhang, Jason Zhang, Abraham Sebastian, Phanindra Ganti, Chinmay Soman, Sunil Nagaraj, Oliver Nicholas Seeliger, Neha Narkhede, Sasha Pachev, Jun Rao, BBoris Shkolnik, Kevin Krawez, Sajid Topiwala, Shirshanka Das, Balaji Varadarajan, Adam Silberstein, Jay Kreps, Jemiah Westerman
Publikováno v:
ICDE
Linked In is among the largest social networking sites in the world. As the company has grown, our core data sets and request processing requirements have grown as well. In this paper, we describe a few selected data infrastructure projects at Linked
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e030e18dd049b91eb9e691b810aa451
https://doi.org/10.1109/icde.2012.147
https://doi.org/10.1109/icde.2012.147
Autor:
Leo Giakoumakis, Oliver Nicholas Seeliger, Gideon Schaller, Istvan Cseri, Shankar Pal, Vasili Zolotov
Publikováno v:
VLDB
As XML usage grows for both data-centric and document-centric applications, introducing native support for XML data in relational databases brings significant benefits. It provides a more mature platform for the XML data model and serves as the basis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec6d7ff3e122e67c10439ab4abeb836a
https://doi.org/10.1016/b978-012088469-8.50099-1
https://doi.org/10.1016/b978-012088469-8.50099-1
