AdaptDB: Adaptive Partitioning for Distributed Joins
Big data analytics often involves complex join queries over two or more tables. Such join processing is expensive in a distributed setting both because large amounts of data must be read from disk, and because of data shuffling across the network. Many techniques based on data partitioning have b...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Association for Computing Machinery (ACM)
2018
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| Online Access: | http://hdl.handle.net/1721.1/116354 https://orcid.org/0000-0002-2718-9443 https://orcid.org/0000-0002-0925-1354 https://orcid.org/0000-0002-7470-3265 |