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Introducing Microsoft StreamInsight
Technical Article

Writer: Torsten Grabs, Roman Schindlauer, Ramkumar Krishnan, Jonathan Goldstein, and Rafael Fernández.
Published: September 2009
rewrite: May 2010
Applies to: Microsoft StreamInsight

Summary: While typical relational database applications argon query-driven, casing-driven applications have become increasingly important. Event-driven applications ar characterized by laid-back event data rates, continuous queries, and millisecond latency requirements that throw away storing the data in a relational database for processing impractical. These requirements are shared by vertical markets such as: pecuniary services, health care, IT monitoring, manufacturing, oil and gas, transportation, utilities, and web analytics. Event-driven applications use complex event processing (CEP) technology with the goal of identifying meaningful patterns, relationships and data abstractions from among ostensibly unrelated events and trigger immediate response actions.
This make-up provides an overview of the Microsoft SQL innkeeper StreamInsight platform for high- throughput, low-latency complex event processing.



StreamInsight allows software developers to create CEP solutions along two scenarios: (1) building packaged event-driven applications, and (2) developing custom event-driven applications for businesses. The paper describes the StreamInsight architecture and major components and demonstrates how to write continuous queries in a declarative way to analyze and process the events flowing through the system.

Copyright
The information contained in this document represents the current view of Microsoft partnership on the issues discussed as of the date of publication. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of both information presented after the date of publication.
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