Architectural Best Practices for Next Generation Data Integration
Transforming Enterprise Data Chaos Into
An Informatica On-Demand Webinar
Traditional approaches to data integration worked fine for structured, relational data. Today, though, data is moving through your organization with unprecedented volume, variety, and velocity. Old approaches simply can't keep pace.
How do you transform complex, slow, costly data siloes into a well-managed, easy-to-use, highly agile and responsive system that gives your decision-makers 24/7 access to all the data they need?
Hear independent analyst Joe McKendrick, Claudia Imhoff, President of Intelligent Solutions, Inc., and John Schmidt, VP of Global Integration Services for Informatica, explore best practices for turning data chaos into business results, including...
- Drivers behind the need for new approaches to data integration
- Key elements of an enterprise data integration architecture
- Necessary steps for moving from fragmented data integration silos to enterprise-wide data integration
- Examples of organizations using enterprise data integration architecture to break through functional and departmental
Learn how a data integration strategy that incorporates existing tools and platforms as well as next-generation frameworks can help your organization improve the capacity, productivity, timeliness and value of data management.