{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,19]],"date-time":"2026-05-19T07:15:33Z","timestamp":1779174933822,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":10,"publisher":"ACM","license":[{"start":{"date-parts":[[2015,5,27]],"date-time":"2015-05-27T00:00:00Z","timestamp":1432684800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2015,5,27]]},"DOI":"10.1145\/2723372.2742795","type":"proceedings-article","created":{"date-parts":[[2015,6,2]],"date-time":"2015-06-02T05:35:02Z","timestamp":1433223302000},"page":"1917-1923","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":122,"title":["Amazon Redshift and the Case for Simpler Data Warehouses"],"prefix":"10.1145","author":[{"given":"Anurag","family":"Gupta","sequence":"first","affiliation":[{"name":"Amazon Web Services, Seattle, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Deepak","family":"Agarwal","sequence":"additional","affiliation":[{"name":"Amazon Web Services, Seattle, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Derek","family":"Tan","sequence":"additional","affiliation":[{"name":"Amazon Web Services, Seattle, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jakub","family":"Kulesza","sequence":"additional","affiliation":[{"name":"Amazon Web Services, Seattle, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rahul","family":"Pathak","sequence":"additional","affiliation":[{"name":"Amazon Web Services, Seattle, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stefano","family":"Stefani","sequence":"additional","affiliation":[{"name":"Amazon Web Services, Seattle, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vidhya","family":"Srinivasan","sequence":"additional","affiliation":[{"name":"Amazon Web Services, Seattle, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2015,5,27]]},"reference":[{"key":"e_1_3_2_1_1_1","first-page":"197","volume":"201","author":"Abadi","unstructured":"Abadi D, Boncz P, Harizopoulos S, Idreos S, Madden S. The Design and Implementation of Modern Column-Oriented Database Systems. Foundations and Trends in Databases. 201 3;5(3): 197 -- 280 . Abadi D, Boncz P, Harizopoulos S, Idreos S, Madden S. The Design and Implementation of Modern Column-Oriented Database Systems. Foundations and Trends in Databases. 2013;5(3):197--280.","journal-title":"Databases."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/1142473.1142548"},{"key":"e_1_3_2_1_3_1","volume-title":"Proceedings of the biennial Conference on Innovative Data Systems Research (CIDR)","author":"Boncz Peter","year":"2005","unstructured":"Peter Boncz , Marcin Zukowski , and Niels Nes . MonetDB\/X100 : Hyper- pipelining query execution . In Proceedings of the biennial Conference on Innovative Data Systems Research (CIDR) , 2005 . Peter Boncz, Marcin Zukowski, and Niels Nes. MonetDB\/X100: Hyper- pipelining query execution. In Proceedings of the biennial Conference on Innovative Data Systems Research (CIDR), 2005."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/2463676.2463710"},{"key":"e_1_3_2_1_5_1","volume-title":"Moerkotte. Small Materialized Aggregates: A Light Weight Index Structure for Data Warehousing. VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases. Pages 476--487","author":"Guido","unstructured":"Guido Moerkotte. Small Materialized Aggregates: A Light Weight Index Structure for Data Warehousing. VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases. Pages 476--487 . Guido Moerkotte. Small Materialized Aggregates: A Light Weight Index Structure for Data Warehousing. VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases. Pages 476--487."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.14778\/2002938.2002940"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/588011.588037"},{"key":"e_1_3_2_1_8_1","first-page":"553","volume-title":"Proceedings of the International Conference on Very Large Data Bases (VLDB)","author":"Stonebraker Michael","year":"2005","unstructured":"Michael Stonebraker , Daniel J. Abadi , Adam Batkin , Xuedong Chen , Mitch Cherniack , Miguel Ferreira , Edmond Lau , Amerson Lin , Samuel R. Madden , Elizabeth J. O'Neil , Patrick E. O'Neil , Alexan- der Rasin, Nga Tran , and Stan B. Zdonik . C-Store: A Column-Oriented DBMS . In Proceedings of the International Conference on Very Large Data Bases (VLDB) , pages 553 -- 564 , 2005 . Michael Stonebraker, Daniel J. Abadi, Adam Batkin, Xuedong Chen, Mitch Cherniack, Miguel Ferreira, Edmond Lau, Amerson Lin, Samuel R. Madden, Elizabeth J. O'Neil, Patrick E. O'Neil, Alexan- der Rasin, Nga Tran, and Stan B. Zdonik. C-Store: A Column-Oriented DBMS. In Proceedings of the International Conference on Very Large Data Bases (VLDB), pages 553--564, 2005."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/1995441.1995446"},{"key":"e_1_3_2_1_10_1","unstructured":"Gartner : User Survey Analysis: Key Trends Shaping the Future of Data Center Infrastructure Through 2011 IDC: Worldwide Business Analytics Software 2012-2016 Forecast and 2011 Vendor Shares  Gartner : User Survey Analysis: Key Trends Shaping the Future of Data Center Infrastructure Through 2011 IDC: Worldwide Business Analytics Software 2012-2016 Forecast and 2011 Vendor Shares"}],"event":{"name":"SIGMOD\/PODS'15: International Conference on Management of Data","location":"Melbourne Victoria Australia","acronym":"SIGMOD\/PODS'15","sponsor":["SIGMOD ACM Special Interest Group on Management of Data"]},"container-title":["Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2723372.2742795","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2723372.2742795","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T06:16:38Z","timestamp":1750227398000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2723372.2742795"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,5,27]]},"references-count":10,"alternative-id":["10.1145\/2723372.2742795","10.1145\/2723372"],"URL":"https:\/\/doi.org\/10.1145\/2723372.2742795","relation":{},"subject":[],"published":{"date-parts":[[2015,5,27]]},"assertion":[{"value":"2015-05-27","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}