Authors:
Andreas Behrend
1
;
Dieter Gawlick
2
and
Daniela Nicklas
3
Affiliations:
1
University of Bonn, Germany
;
2
Oracle Redwood City, United States
;
3
Carl von Ossietzky Universität Oldenburg, Germany
Keyword(s):
Data Stream Management, Event Processing, Active Databases, Database Architecture, Query Processing.
Related
Ontology
Subjects/Areas/Topics:
Architectural Concepts
;
Data Engineering
;
Data Management and Quality
;
Management of Sensor Data
;
Modeling and Managing Large Data Systems
Abstract:
In this paper, we describe the requirements and benefits for integrating data stream processing with database management systems. Currently, these technologies focus on very different tasks; streams systems extract instances of patterns from streams of transient data, while database systems store, manage, provide access to, and analyze persistent data. Many applications, e.g., patient care, program trading, or flight supervision, however, depend on the functionality and operational characteristics of both types of systems. We discuss how to design a federated system which provides the benefits of both approaches.