What can hierarchies do for data streams?

被引：0
作者：
Yin, Xuepeng [1 ]
Pedersen, Torben Bach [1 ]
机构：
[1] Aalborg Univ, Aalborg, Denmark
来源：
BUSINESS INTELLIGENCE FOR THE REAL-TIME ENTERPRISES | 2007年 / 4365卷
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
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页码：4 / +
页数：3
相关论文
共 16 条
  • [1] [Anonymous], P ACM SIGMOD C
  • [2] Arasu A., 2003, IEEE DATA ENG B, V26, P19
  • [3] Carney D., 2002, Proceedings of the Twenty-eighth International Conference on Very Large Data Bases, P215
  • [4] CHANDRASEKARAN S, 2003, P 1 BIENN C INN DAT, P269
  • [5] Chatziantoniou D, 1996, PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON VERY LARGE DATA BASES, P295
  • [6] Chen J., 2000, SIGMOD 00, P379, DOI DOI 10.1145/342009.335432
  • [7] CODD EF, 2005, PROVIDING OLAP ONLIN
  • [8] Cranor C, 2002, P ACM INT C MAN DAT, P623
  • [9] Data cube: A relational aggregation operator generalizing group-by, cross-tab, and sub-totals
    Gray, J
    Bosworth, A
    Layman, A
    Pirahesh, H
    [J]. PROCEEDINGS OF THE TWELFTH INTERNATIONAL CONFERENCE ON DATA ENGINEERING, 1996, : 152 - 159
  • [10] INTEL BERKELEY RESEARCH LAB, 2004, INT LAB DAT
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