View Management Techniques and Their Application to Data Stream Management

View Management Techniques and Their Application to Data Stream Management

Christoph Quix (RWTH Aachen University, Germany), Xiang Li (RWTH Aachen University, Germany), David Kensche (RWTH Aachen University, Germany) and Sandra Geisler (RWTH Aachen University, Germany)
DOI: 10.4018/978-1-61520-965-1.ch311
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Abstract

Data streams are continuous, rapid, time-varying, and transient streams of data and provide new opportunities for analysis of timely information. Data processing in data streams faces similar challenges as view management in data warehousing: continuous query processing is related to view maintenance in data warehousing, multi-query optimization for continuous queries is highly related to view selection in conventional relational DBMS and data warehouses. In this chapter, we give an overview of view maintenance and view selection methods, explain the fundamental issues of data stream management, and discuss how view management techniques from data warehousing are related to data stream management. We also give directions for future research in view management, data streams, and data warehousing.

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