Extendible Arrays for Statistical Databases and OLAP Applications

D. Rotem; J. L. Zhao

doi:10.1109/SSDM.1996.506053

Extendible Arrays for Statistical Databases and OLAP Applications

D. Rotem, J. L. Zhao

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

24 Citations (Scopus)

Abstract

On Line Analytical Processing (OLAP) is becoming increasingly important as today's organizations frequently make business decisions based on statistical analysis of their enterprise data. This data is multi-dimensional and is derived from transactional data using various levels of aggregation. As the business model changes frequently, the multidimensional arrays must be extended in terms of the value ranges of each dimension and even new dimensions. In this paper we propose new methods to deal with disk resident extendible arrays. A new index data structure for keeping track of the extensions is introduced, and a performance analysis is conducted for array extension and retrievals.

Original language	English
Title of host publication	Proceedings - Eighth International Conference on Scientific and Statistical Database Systems
Publisher	IEEE
Pages	108-117
ISBN (Print)	0-8186-7264-1
DOIs	https://doi.org/10.1109/SSDM.1996.506053
Publication status	Published - Jun 1996
Externally published	Yes
Event	8th International Conference on Scientific and Statistical Database Management (8 SSDBM) - Stockholm, Sweden Duration: 18 Jun 1996 → 20 Jun 1996

Conference

Conference	8th International Conference on Scientific and Statistical Database Management (8 SSDBM)
Abbreviated title	SSDBM 1996
Country/Territory	Sweden
City	Stockholm
Period	18/06/96 → 20/06/96

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10.1109/SSDM.1996.506053

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title = "Extendible Arrays for Statistical Databases and OLAP Applications",

abstract = "On Line Analytical Processing (OLAP) is becoming increasingly important as today's organizations frequently make business decisions based on statistical analysis of their enterprise data. This data is multi-dimensional and is derived from transactional data using various levels of aggregation. As the business model changes frequently, the multidimensional arrays must be extended in terms of the value ranges of each dimension and even new dimensions. In this paper we propose new methods to deal with disk resident extendible arrays. A new index data structure for keeping track of the extensions is introduced, and a performance analysis is conducted for array extension and retrievals.",

author = "D. Rotem and Zhao, {J. L.}",

year = "1996",

month = jun,

doi = "10.1109/SSDM.1996.506053",

language = "English",

isbn = "0-8186-7264-1",

pages = "108--117",

booktitle = "Proceedings - Eighth International Conference on Scientific and Statistical Database Systems",

publisher = "IEEE",

address = "United States",

note = "8th International Conference on Scientific and Statistical Database Management (8 SSDBM), SSDBM 1996 ; Conference date: 18-06-1996 Through 20-06-1996",

}

Rotem, D & Zhao, JL 1996, Extendible Arrays for Statistical Databases and OLAP Applications. in Proceedings - Eighth International Conference on Scientific and Statistical Database Systems ., 506053, IEEE, pp. 108-117, 8th International Conference on Scientific and Statistical Database Management (8 SSDBM), Stockholm, Sweden, 18/06/96. https://doi.org/10.1109/SSDM.1996.506053

TY - GEN

T1 - Extendible Arrays for Statistical Databases and OLAP Applications

AU - Rotem, D.

AU - Zhao, J. L.

PY - 1996/6

Y1 - 1996/6

N2 - On Line Analytical Processing (OLAP) is becoming increasingly important as today's organizations frequently make business decisions based on statistical analysis of their enterprise data. This data is multi-dimensional and is derived from transactional data using various levels of aggregation. As the business model changes frequently, the multidimensional arrays must be extended in terms of the value ranges of each dimension and even new dimensions. In this paper we propose new methods to deal with disk resident extendible arrays. A new index data structure for keeping track of the extensions is introduced, and a performance analysis is conducted for array extension and retrievals.

AB - On Line Analytical Processing (OLAP) is becoming increasingly important as today's organizations frequently make business decisions based on statistical analysis of their enterprise data. This data is multi-dimensional and is derived from transactional data using various levels of aggregation. As the business model changes frequently, the multidimensional arrays must be extended in terms of the value ranges of each dimension and even new dimensions. In this paper we propose new methods to deal with disk resident extendible arrays. A new index data structure for keeping track of the extensions is introduced, and a performance analysis is conducted for array extension and retrievals.

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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0029724601&origin=recordpage

U2 - 10.1109/SSDM.1996.506053

DO - 10.1109/SSDM.1996.506053

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 0-8186-7264-1

SP - 108

EP - 117

BT - Proceedings - Eighth International Conference on Scientific and Statistical Database Systems

PB - IEEE

T2 - 8th International Conference on Scientific and Statistical Database Management (8 SSDBM)

Y2 - 18 June 1996 through 20 June 1996

ER -

Extendible Arrays for Statistical Databases and OLAP Applications

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