SQL Server 2008: Developing Large Scale Web Applications and Services | pdc2008

As a developer of mission critical, large-scale web applications and services, do you worry about supporting large numbers of users with lightning fast response times, scaling to terabytes of data, designing multi-tenant services, as well as the cost of building these applications? If you answered yes, come to this session and learn how Microsoft SQL Server 2008 and other data platform services will help you architect and develop your applications to be high throughput, low latency, and highly available-and yet provide predictability of performance and total cost. We describe proven data architectures, design patterns and practices being used by our highest scale customers who service millions of users every day. We also share our next release plans that will help you understand our roadmap on how we will continue to address the needs of the most demanding large-scale applications.

Hala Al-Adwan
Jose Blakeley
José Blakeley is Partner Architect in the SQL Server Engine at Microsoft where he works on server programmability, database engine extensibility, query processing, object-relational functionality, large scale query processing, and scientific database applications. He joined Microsoft in 1994. Some of his contributions include the development of the OLE DB data access interfaces, the integration of the .NET runtime inside the SQL Server 2005, the extensibility features in SQL Server, and the creation of the ADO.NET Entity Framework in Visual Studio 2008. José has authored many conference papers, book chapters and journal articles on design aspects of relational and object database management systems, and data access. Before joining Microsoft, José was a member of the technical staff with Texas Instruments where he was co-principal investigator of the DARPA Open-OODB system. He received a B. Eng from ITESM, Monterrey, Mexico, and a Ph.D. in computer science from University of Waterloo, Canada.

Tags: Advanced, Breakout Session, SQL Server

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