Tsunami: a learned multi-dimensional index for correlated data and skewed workloads

Tsunami: a learned multi-dimensional index for correlated data and skewed workloads

© 2020, VLDB Endowment. All rights reserved. Filtering data based on predicates is one of the most fundamental operations for any modern data warehouse. Techniques to accelerate the execution of filter expressions include clustered indexes, specialized sort orders (e.g., Z-order), multi-dimensional...

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Bibliographic Details
Main Authors: Ding, Jialin, Nathan, Vikram, Alizadeh, Mohammad, Kraska, Tim
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: VLDB Endowment 2021
Online Access:https://hdl.handle.net/1721.1/132295

Internet

https://hdl.handle.net/1721.1/132295

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