What Can Hierarchies Do for Data Streams?

Publikation: Bog/antologi/afhandling/rapportRapportForskning

Resumé

Much effort has been put into building data streams management systems for querying data streams. Here, data streams have been viewed as a flow of low-level data items, e.g., sensor readings or IP packet data. Stream query languages have mostly been SQL-based, with the STREAM and TelegraphCQ languages as examples. However, there has been little work on supporting OLAP-like queries that provide multi-dimensional and summarized views of stream data. In this paper, we introduce a multidimensional stream query language and its formal semantics. Our approach enables powerful OLAP queries against data streams with dimension hierarchies, thus turning low-level data streams into informative high-level aggregates. A comparison with STREAM shows that our approach is more flexible and powerful for high-level OLAP queries, as well as far more compact and concise.
OriginalsprogEngelsk
Udgivelses stedAalborg
ForlagDepartment of Computer Science, Aalborg University
Antal sider30
StatusUdgivet - 2005
Navn1DB Technical Report
NummerTR 12

Citer dette

Yin, X., & Pedersen, T. B. (2005). What Can Hierarchies Do for Data Streams? Aalborg: Department of Computer Science, Aalborg University. 1DB Technical Report, Nr. TR 12
Yin, Xuepeng ; Pedersen, Torben Bach. / What Can Hierarchies Do for Data Streams?. Aalborg : Department of Computer Science, Aalborg University, 2005. 30 s. (1DB Technical Report; Nr. TR 12).
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abstract = "Much effort has been put into building data streams management systems for querying data streams. Here, data streams have been viewed as a flow of low-level data items, e.g., sensor readings or IP packet data. Stream query languages have mostly been SQL-based, with the STREAM and TelegraphCQ languages as examples. However, there has been little work on supporting OLAP-like queries that provide multi-dimensional and summarized views of stream data. In this paper, we introduce a multidimensional stream query language and its formal semantics. Our approach enables powerful OLAP queries against data streams with dimension hierarchies, thus turning low-level data streams into informative high-level aggregates. A comparison with STREAM shows that our approach is more flexible and powerful for high-level OLAP queries, as well as far more compact and concise.",
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Yin, X & Pedersen, TB 2005, What Can Hierarchies Do for Data Streams? 1DB Technical Report, nr. TR 12, Department of Computer Science, Aalborg University, Aalborg.

What Can Hierarchies Do for Data Streams? / Yin, Xuepeng; Pedersen, Torben Bach.

Aalborg : Department of Computer Science, Aalborg University, 2005. 30 s. (1DB Technical Report; Nr. TR 12).

Publikation: Bog/antologi/afhandling/rapportRapportForskning

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Yin X, Pedersen TB. What Can Hierarchies Do for Data Streams? Aalborg: Department of Computer Science, Aalborg University, 2005. 30 s. (1DB Technical Report; Nr. TR 12).