Data projects inherently require experimentation and flexibility. But traditional data access methods are slow and resistant to changes in data structures. This talk will outline how data virtualization is enabling cost-effective, flexible access to real-time data and providing data consumers with the agility they need to experiment.
Key Takeaways
- An understanding of data virtualization
- Concrete use cases for when data virtualization should be used over traditional methods, such as ETL
- The tangible business benefits of data virtualization
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