What Can Hierarchies Do for Data Streams?

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3 Citationer (Scopus)

Abstrakt

Abstract. Much effort has been put into building data streams management systems for querying data streams. However, the query languages have mostly been SQL-based and aimed for low-level analysis of base data; therefore, there has been little work on supporting OLAP-like queries that provide real-time multidimensional and summarized views of stream data. In this paper, we introduce a multi-dimensional stream query language and its formal semantics. Our approach turns low-level data streams into informative high-level aggregates and enables multi-dimensional and granular OLAP queries against data streams, which supports the requirements of today’s real time enterprises much better. A comparison with the STREAM CQL language shows that our approach is more flexible and powerful for high-level OLAP queries, as well as far more compact and concise.
Classification: Real-time OLAP, Streaming data, Real-time decision support
Submission Category: Regular paper
OriginalsprogEngelsk
TitelProceedings of First International Workshop on Business Intelligence for the Real Time Enterprise
Antal sider16
ForlagSpringer
Publikationsdato2007
ISBN (Trykt)978-3-540-73949-4
StatusUdgivet - 2007
BegivenhedFirst International Workshop on Business Intelligence for the Real Time Enterprise - Seoul, Sydkorea
Varighed: 11 sep. 200611 sep. 2006
Konferencens nummer: 1

Konference

KonferenceFirst International Workshop on Business Intelligence for the Real Time Enterprise
Nummer1
LandSydkorea
BySeoul
Periode11/09/200611/09/2006
NavnLecture Notes in Computer Science
Nummer4365
ISSN0302-9743

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