A lot of informational applications rely on data warehouse solutions and a traditional waterfall approach to designing business intelligence systems. Also millions of dollars are being spent on elaborate Master Data Management solutions involving a physical master data hub. In the age of rapidly changing data, data sources and business context, are these systems DOA?
Data Virtualization, which abstracts and allows loose coupling of data consumers and data sources, provides not just a technology, but also a new way of thinking about information management at a time when the complexity and volume of data, and the heterogeneity of sources is growing exponentially. This session covers the value that Data Virtualization can add to data warehouse architectures and business intelligence initiatives to provide more flexibility at lower cost, enable self-service BI, operational BI, rapid prototyping, and real-time analytics. It also looks at why deploying a virtual MDM makes more business sense than a physical MDM. The concepts will be made real in a short demo using a leading Data Virtualization platform.
Key Topics: Data Virtualization - concepts, how it works, benefits, performance Using Data Virtualization for Agile BI and Data Warehouse Extensions Benefits of Virtual MDM and how it can evolve and complement physical MD