StreamInsight at PDC

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It has been pretty silent around here for quite some time - we have been busy pushing our next CTP out the door. Announcement will follow!
Moreover, we will talk about StreamInsight in several sessions at PDC next week in Los Angeles:

BizTalk and StreamInsight: A Better Together Story

Mark Simms, Session 3 – Theatre Chalk Talk on Tuesday at 1:00 PM

SQL Server 2008 R2 introduces StreamInsight, providing a powerful platform for developing and deploying complex event processing (CEP) applications. Come and learn how StreamInsight can be used to enable new capabilities in BizTalk for providing real-time monitoring and analytics for infrastructure and business events at scale.

Introduction to Microsoft SQL Server 2008 R2 StreamInsight

Torsten Grabs in 502A on Thursday at 10:00 AM

Microsoft SQL Server 2008 R2 includes an exciting new platform called StreamInsight for building rich data processing over real-time event streams. This technology is ideal for applications that need to process high volumes of event stream data with no latency. Learn the basics of how to build a StreamInsight input adapter for monitoring an event stream, how to construct real-time queries in LINQ and install them in the highly scalable StreamInsight engine, and how to build a StreamInsight output adapter to visualize the results from your queries.

Advanced Microsoft SQL Server 2008 R2 StreamInsight

Roman Schindlauer, Beysim Sezgin in 515B on Thursday at 3:00 PM

This is the second session in a series focusing on Microsoft SQL Server 2008 R2 StreamInsight, a new platform for building rich data processing over real-time event streams. Come get a detailed architectural walkthrough of the three major components of StreamInsight: input and output adapters SDK, the StreamInsight engine runtime, and the semantics of the continuous standing queries hosted in the StreamInsight engine. Learn how the engine deals with out-of-order data arrival and how to achieve close to real-time latency for queries. Examine best practices for performance and scalability, and hear a few case studies of real-world StreamInsight implementations and the lessons learned from them.