Presented at Chief Data Officer July 2021 (A/NZ)
The current data landscape is fragmented, not just in location but also in terms of processing paradigms: data lakes, IoT architectures, NoSQL, and graph data stores, SaaS applications, etc. are found coexisting with relational databases to fuel the needs of modern analytics, ML, and AI. Data Virtualization is a modern data integration technique in which a single semantic layer can be built containing semantic definitions of all of the underlying sources.
Watch on-demand this session to understand how data virtualization:
- Helps organisations create a logical architecture
- Seamlessly implement the concept of 'Data Marketplace'
- Enable all business users to derive value from self-service analytics tools