Next Generation Data Integration
Data integration (DI) has undergone an impressive evolution in recent years. Today, DI is a rich set of powerful techniques, including ETL (extract, transform, and load), data federation, replication, synchronization, change data capture, natural language processing, business-to-business data exchange, and more. Furthermore, vendor products for DI have achieved maturity, users have grown their DI teams to epic proportions, competency centers regularly staff DI work, new best practices continue to arise (like collaborative DI and agile DI), and DI as a discipline has earned its autonomy from related practices like data warehousing and database administration.
Given these and the many other generational changes data integration has gone through recently, it’s natural that many people aren’t quite up-to-date with the full potential of modern data integration. Based on a recent TDWI Best Practices report this webinar seeks to cure that malady by redefining data integration in modern terms, plus showing where it’s going with its next generation. This information will help user organizations make more enlightened decisions, as they upgrade, modernize, and expand existing data integration solutions, plus plan infrastructure for next generation data integration.
You Will Learn:
- Findings from TDWI’s Best Practices report on Next Generation Data Integration
- Recent trends in the generational evolution of data integration
- New definitions of data integration that fit what it does today and will do in the next generation
- An overview of the diverse tools and practices of modern data integration
- Organizational structures that enable current and future generations of DI
Philip Russom, Ph.D.
Content Provided by
TDWI, IBM, DataFlux, Informatica, SAP, Precisely, Talend