Aqua: A Fast Decision Support Systems Using Approximate Query Answers.
Swarup Acharya, Phillip B. Gibbons, Viswanath Poosala:
Aqua: A Fast Decision Support Systems Using Approximate Query Answers.
VLDB 1999: 754-757@inproceedings{DBLP:conf/vldb/AcharyaGP99,
author = {Swarup Acharya and
Phillip B. Gibbons and
Viswanath Poosala},
editor = {Malcolm P. Atkinson and
Maria E. Orlowska and
Patrick Valduriez and
Stanley B. Zdonik and
Michael L. Brodie},
title = {Aqua: A Fast Decision Support Systems Using Approximate Query
Answers},
booktitle = {VLDB'99, Proceedings of 25th International Conference on Very
Large Data Bases, September 7-10, 1999, Edinburgh, Scotland,
UK},
publisher = {Morgan Kaufmann},
year = {1999},
isbn = {1-55860-615-7},
pages = {754-757},
ee = {db/conf/vldb/AcharyaGP99.html},
crossref = {DBLP:conf/vldb/99},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX
Abstract
Aqua is a system for providing fast, approximate
answers to aggregate queries, which are very common
in OLAP applications. It has been designed to run on
top of any commercial relational DBMS. Aqua precomputes
synopses (special statistical summaries) of the original
data and stores them in the DBMS. It provides approximate
answers (with quality guarantees) by rewriting the queries
to run on these synopses. Finally, Aqua also incrementally
keeps the synopses up-to-date as the database changes.
Copyright © 1999 by the VLDB Endowment.
Permission to copy without fee all or part of this material is granted provided that the copies are not made or
distributed for direct commercial advantage, the VLDB
copyright notice and the title of the publication and
its date appear, and notice is given that copying
is by the permission of the Very Large Data Base
Endowment. To copy otherwise, or to republish, requires
a fee and/or special permission from the Endowment.
Online Paper
DVD Version: Load ACM SIGMOD Anthology DVD 1" and ...
BibTeX
Printed Edition
Malcolm P. Atkinson, Maria E. Orlowska, Patrick Valduriez, Stanley B. Zdonik, Michael L. Brodie (Eds.):
VLDB'99, Proceedings of 25th International Conference on Very Large Data Bases, September 7-10, 1999, Edinburgh, Scotland, UK.
Morgan Kaufmann 1999, ISBN 1-55860-615-7
Contents BibTeX
References
- [AGP99]
- ...
- [AGPR99]
- Swarup Acharya, Phillip B. Gibbons, Viswanath Poosala, Sridhar Ramaswamy:
Join Synopses for Approximate Query Answering.
SIGMOD Conference 1999: 275-286 BibTeX
- [GM98]
- Phillip B. Gibbons, Yossi Matias:
New Sampling-Based Summary Statistics for Improving Approximate Query Answers.
SIGMOD Conference 1998: 331-342 BibTeX
- [GMP97]
- Phillip B. Gibbons, Yossi Matias, Viswanath Poosala:
Fast Incremental Maintenance of Approximate Histograms.
VLDB 1997: 466-475 BibTeX
- [HHW97]
- Joseph M. Hellerstein, Peter J. Haas, Helen J. Wang:
Online Aggregation.
SIGMOD Conference 1997: 171-182 BibTeX
- [IP99]
- Yannis E. Ioannidis, Viswanath Poosala:
Histogram-Based Approximation of Set-Valued Query-Answers.
VLDB 1999: 174-185 BibTeX
- [PG99]
- Viswanath Poosala, Venkatesh Ganti:
Fast Approximate Answers to Aggregate Queries on a Data Cube.
SSDBM 1999: 24-33 BibTeX
- [VL93]
- Susan V. Vrbsky, Jane W.-S. Liu:
APPROXIMATE - A Query Processor that Produces Monotonically Improving Approximate Answers.
IEEE Trans. Knowl. Data Eng. 5(6): 1056-1068(1993) BibTeX
- [VWI98]
- Jeffrey Scott Vitter, Min Wang, Balakrishna R. Iyer:
Data Cube Approximation and Histograms via Wavelets.
CIKM 1998: 96-104 BibTeX
Referenced by
- Swarup Acharya, Phillip B. Gibbons, Viswanath Poosala:
Congressional Samples for Approximate Answering of Group-By Queries.
SIGMOD Conference 2000: 487-498
- H. V. Jagadish:
Review - Aqua: A Fast Decision Support Systems Using Approximate Query Answers.
ACM SIGMOD Digital Review 1: (1999)
BibTeX
ACM SIGMOD Anthology - DBLP:
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