Rapid Adoption of Cloud Data Warehouse Technology Using Datometry Hyper-Q
Author:
Affiliation:
1. Datometry, Inc., San Francisco, CA, USA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3183713.3190652
Reference11 articles.
1. Lyublena Antova Rhonda Baldwin Derrick Bryant Tuan Cao Michael Duller John Eshleman Zhongxian Gu Entong Shen Mohamed A Soliman and F Michael Waas. 2016. Datometry Hyper-Q: Bridging the Gap Between Real-Time and Historical Analytics SIGMOD. 10.1145/2882903.2903739 Lyublena Antova Rhonda Baldwin Derrick Bryant Tuan Cao Michael Duller John Eshleman Zhongxian Gu Entong Shen Mohamed A Soliman and F Michael Waas. 2016. Datometry Hyper-Q: Bridging the Gap Between Real-Time and Historical Analytics SIGMOD. 10.1145/2882903.2903739
2. Benôt Dageville Thierry Cruanes Marcin Zukowski Vadim Antonov Artin Avanes Jon Bock Jonathan Claybaugh Daniel Engovatov Martin Hentschel Jiansheng Huang Allison W. Lee Ashish Motivala Abdul Q. Munir Steven Pelley Peter Povinec Greg Rahn Spyridon Triantafyllis and Philipp Unterbrunner. 2016. The Snowflake Elastic Data Warehouse. In SIGMOD. 10.1145/2882903.2903741 Benôt Dageville Thierry Cruanes Marcin Zukowski Vadim Antonov Artin Avanes Jon Bock Jonathan Claybaugh Daniel Engovatov Martin Hentschel Jiansheng Huang Allison W. Lee Ashish Motivala Abdul Q. Munir Steven Pelley Peter Povinec Greg Rahn Spyridon Triantafyllis and Philipp Unterbrunner. 2016. The Snowflake Elastic Data Warehouse. In SIGMOD. 10.1145/2882903.2903741
3. Denodo. {n. d.}. (. {n. d.}). http://www.denodo.com/ tempurl Denodo. {n. d.}. (. {n. d.}). http://www.denodo.com/ tempurl
4. A demonstration of the BigDAWG polystore system
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