Amazon Redshift Re-invented-Reference-Cited by-同舟云学术

Amazon Redshift Re-invented

Published:2022-06-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2022 International Conference on Management of Data
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Author:

Armenatzoglou Nikos¹,Basu Sanuj²,Bhanoori Naga²,Cai Mengchu²,Chainani Naresh²,Chinta Kiran²,Govindaraju Venkatraman²,Green Todd J.³,Gupta Monish²,Hillig Sebastian⁴,Hotinger Eric⁵,Leshinksy Yan⁵,Liang Jintian²,McCreedy Michael⁵,Nagel Fabian²,Pandis Ippokratis²,Parchas Panos⁴,Pathak Rahul⁵,Polychroniou Orestis²,Rahman Foyzur²,Saxena Gaurav²,Soundararajan Gokul²,Subramanian Sriram²,Terry Doug²

Affiliation:

1. Amazon Web Services, New York City, NY, USA

2. Amazon Web Services, Palo Alto, CA, USA

3. Amazon Web Services, Davis, CA, USA

4. Amazon Web Services, Berlin, UNK, Germany

5. Amazon Web Services, Seattle, WA, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3514221.3526045

Reference23 articles.

1. Cloud data warehouse benchmark. https://github.com/awslabs/amazon-redshift-utils/tree/master/src/CloudDataWarehouseBenchmark/Cloud-DWB-Derived-from-TPCDS. Accessed: 2021--11--22. Cloud data warehouse benchmark. https://github.com/awslabs/amazon-redshift-utils/tree/master/src/CloudDataWarehouseBenchmark/Cloud-DWB-Derived-from-TPCDS. Accessed: 2021--11--22.

2. Partiql query language. https://partiql.org/. Accessed: 2021--11--22. Partiql query language. https://partiql.org/. Accessed: 2021--11--22.

3. POLARIS

4. Delta lake

5. A critique of ANSI SQL isolation levels

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