Next Generation Data Integration
Date: April 12, 2011 Time: 9:00AM PT
Speaker: Philip Russom
From the website:
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.
Every group (tribe as Jack Park would call them) has its own terminology when it comes to data and managing data.
As you can tell from the description of the webinar, data integration is concerned with many of the same issues as topic maps. Albeit under different names.
Regard this as an opportunity to visit another tribe and learn some new terminology.
And some new ideas you can use with topic maps.