Optimal Query Plans for Geo-distributed Data Analytics at Scale-Reference-Cited by-同舟云学术

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Optimal Query Plans for Geo-distributed Data Analytics at Scale

Published:2024-01-04 Issue: Volume: Page:247-251
ISSN:
Container-title:Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD)
language:
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Author:

Pradhan Ahana¹^ORCID,Karthik Srinivas¹^ORCID,S. Raghunandan¹^ORCID

Affiliation:

1. Independent, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3632410.3632424

Reference31 articles.

1. 2017. Query many data sources as one: IBM Queryplex for data analytics. https://www.ibm.com/blogs/cloud-archive/2017/03/query-many-data-sources-one-ibm-queryplex-data-analytics/. [Online; accessed 24-Aug-2022].

2. Kaustubh Beedkar, Jorge-Arnulfo Quiané-Ruiz, and Volker Markl. 2021. Compliant Geo-Distributed Query Processing. In ACM SIGMOD Conf.181–193.

3. Apache Calcite

4. Using Semi-Joins to Solve Relational Queries

5. Trino Community. 2019. Trino: a query engine that runs at ludicrous speed. https://trino.io/

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