Data Integration Architecture: What It does, Where It’s Going, and Why You Should Care
Some people don’t believe data integration has architecture, under the assumption that data integration is a small component of a larger data warehouse architecture. If you fail to recognize the autonomous architectures that data integration has developed in recent years, you can’t address how architecture affects data integration’s scalability, staffing, cost, and ability to support real time, master data management, SOA, and interoperability with related integration and quality tools. And all these are worth addressing. This Webinar makes a case for data integration architecture, by defining what it does, where it’s going, and why you should care.
You will learn:
- Common architectural patterns for data integration
- How architecture affects productivity in design and development phases
- How architecture affects performance and scalability in deployment
- How services will define the next generation of data integration architecture
Philip Russom, Ph.D.