Abstract
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
Classification: Real-time OLAP, Streaming data, Real-time decision support
Submission Category: Regular paper
| Originalsprog | Engelsk |
|---|---|
| Titel | Proceedings of First International Workshop on Business Intelligence for the Real Time Enterprise |
| Antal sider | 16 |
| Forlag | Springer |
| Publikationsdato | 2007 |
| ISBN (Trykt) | 978-3-540-73949-4 |
| Status | Udgivet - 2007 |
| Begivenhed | First International Workshop on Business Intelligence for the Real Time Enterprise - Seoul, Sydkorea Varighed: 11 sep. 2006 → 11 sep. 2006 Konferencens nummer: 1 |
Konference
| Konference | First International Workshop on Business Intelligence for the Real Time Enterprise |
|---|---|
| Nummer | 1 |
| Land/Område | Sydkorea |
| By | Seoul |
| Periode | 11/09/2006 → 11/09/2006 |
| Navn | Lecture Notes in Computer Science |
|---|---|
| Nummer | 4365 |
| ISSN | 0302-9743 |