Index and Materialized View Selection in Data Warehouses
Databases
2017-01-30 v1
Abstract
The aim of this article is to present an overview of the major families of state-of-the-art index and materialized view selection methods, and to discuss the issues and future trends in data warehouse performance optimization. We particularly focus on data mining-based heuristics we developed to reduce the selection problem complexity and target the most pertinent candidate indexes and materialized views.
Cite
@article{arxiv.1701.08029,
title = {Index and Materialized View Selection in Data Warehouses},
author = {Kamel Aouiche and Jérôme Darmont},
journal= {arXiv preprint arXiv:1701.08029},
year = {2017}
}