November 4-7, 2002 in Pittsburgh, Pennsylvania

SAMPLE TOPICS TO BE COVERED AT THE CONFERENCE

Enterprise Data Strategy

• A Roadmap to Federated Data Architecture

• Integrating Disparate Data into an Enterprise Data Warehouse

• Strategies for Evolving Enterprise Data

• Assessing Data Management Maturity

• Enterprise Data Integration: Development of an Enterprise Data Model

• Metadata Strategies

• Enterprise Information Integration

• “Agile” Data

XML Data Management

• Controlling XML Chaos

• XML in the Real World

• XML Databases

• Design of Reusable XML Component Schemas

• XQuery

• Concordance: Managing Mismatched Data from Multiple Sources

• XML Views for Data Integration

• The Semantic Web

• Managing Schemas for XML

• Mapping Industry XML Schemas to Physical Models

• Integrating Disparate Data Sources Into Conforming XML Documents

• Real-time Database to XML Integration

Meta Data Management

• Meta Data Best Practices

• XML for the Needs of Metadata Consumers

• Dynamically Generated Meta Data

• Metadata for BI Tool Integration

• Enterprise Repositories

  Data and Application Integration

• Intelligent Data Integration: The Key to Success for Data Driven Initiatives .

• The Right Way to Integrate Customer Data

• Customer Data Integration

• Data Integration and Change Management

• EAI Aftermath – What’s Next?

• Massively distributed integration

• Using XML to Integrate Data

• Managing Integration Projects – Old Challenges, New Solutions

• Data Synchronization for Enterprise Customer Data Integration

• Achieving Semantic Interoperability

• Real-time EAI

• Package Data Issues

Web Services

• Using Web Services for Integration within and outside the enterprise

• Data Infrastructures for Web Services

• Understanding SOAP, UDDI and WSML

• Modeling Web Services

  Data Modeling

• Data Model Analysis

• Data Model Patterns and Generalizations

• Analytical Modeling

• Dimensional Modeling

• Modeling Temporal Data Structures

• Transforming An Operational Model Into A Physical Warehouse Database

• A Common Model for Classification Hierarchies

• Modeling Options for Packaged Software

• Data Modeling Standards & Procedures’

• Modeling Data Overlaps and Data Movement

• Using UML for Unified Access to Disparate Data

• Information Quality through Semantic Models

• UML Insights

• Incorporating UML into Your Modeling Portfolio

Data Analytics

• XML for Analysis & JOLAP

• Drill-Thru and the Corporate Information Factory

• Analytical Modeling

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