Moving data between systems and integrating data across the organization has remained one of the primary data management challenges for most organizations over the last two decades, now being greatly exacerbated by the challenge of big data. This seminar will review the best practices in data integration for making data roaming through the organization somewhat manageable, and the new technologies and techniques in big data integration.

This seminar will draw on the content from April Reeve's new book from Morgan Kaufmann, "Managing Data In Motion: Data Integration Best Practice Techniques and Technologies" and will include engaging the participants in relevant exercises.

• What is Data Integration?
  • The Natural Complexity of Interfaces
  • The Rise of the Purchased Vendor Package
  • Key Enablement of Big Data Management

• Batch Data Integration
  • Data Warehousing
  • Data Conversion
  • Data Archiving

• Real Time Data Integration
  • Hub and Spoke
  • Canonical Modeling
  • XML and JSON
  • Master Data Management (MDM)
  • Enterprise Service Bus (ESB)
  • Enterprise Application Integration (EAI) and Enterprise Information Integration (EII)

• Big, Cloud, Virtual Data Integration
  • Cloud Architecture
  • HADOOP and Data Integration
  • Data Virtualization