Paul Moxon
Presented at DAMA Vancouver
For more than three decades, business users have demanded a unified view of organizational data. Technologists have addressed this need, over time, first with databases, then with data warehouses, and more recently with data lakes. However, these technologies have become data silos housing different types of data. That’s where technologies like data virtualization played a critical role to provide a unified view of the enterprise information, without replicating data and delivering faster speed-to-market for products and services. As businesses go increasingly digital, business users are increasingly demanding data management capabilities – like data catalogs, data quality, and data governance – along with automation. That’s where a data fabric, comprising of a data integration technology, AI/ML, data catalog, semantic layer, and active metadata, is becoming critical for self-service-driven data consumption.
Attend this session to learn:
- What is data virtualization and why it is important
- How to build a scalable, federated data architecture with data virtualization
- Evolution of data virtualization into logical data fabric
