Title: XML Data Services: Data Modeling in the Web Services Era Speaker: Michael J. Carey (BEA Systems, Inc.) Abstract: Once upon a time the world was simple. There were tables, views, stored procedures, and client/server interfaces. Data was modeled using time-honored E-R modeling techniques, mapped methodically into tables in the corporate database, and then queried using SQL. Applications were built, not bought. DBAs and application developers ruled. Life was good... Fast forward to the present day, and the world is no longer simple. Data is strewn everywhere - it's in multiple databases of various shapes and sizes, trapped inside a variety of applications, fronted by web services, living in files - and unfortunately, it's all relevant, so we can't just ignore it. Core applications are more often bought than built, and new enterprise applications are built by composing and orchestrating the functions provided by these component applications. And, of course, Service-Oriented Architectures (SOA) are all the rage. Now what? This talk will discuss the role of data in the emerging SOA world and the present day technologies that are causing problems and offering solutions. The talk will make the case for XML data services, a new approach to integrating data and services into a single "data model-able" framework. It will describe BEA's implementation of data services, coming in the next major release of Liquid Data for WebLogic, describing the software platform and tools that we have built (based on XML technologies such as XML Schema and XQuery) to enable developers to easily and declaratively build, deploy, and manage data services. Biography: Michael J. Carey is a 1983 product of UC Berkeley. He joined BEA in late 2001 and is currently the Technical Director for the Liquid Data product team at BEA Systems, Inc. His group is responsible for "all things XQuery" at BEA, including uses of XQuery for data integration (Liquid Data for WebLogic) and application integration (the data transformation engine of WebLogic Integration). Mike's past lives include a year and a half at a Silicon Valley e-commerce startup, five years at IBM Research working on DB2 and data integration related technologies, and twelve years as a database faculty member in the Computer Sciences Department of the University of Wisconsin-Madison. He is an ACM Fellow and a member of the National Academy of Engineering.