Presented at Enterprise Architecture Virtual Summit (Australia)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. The physical consolidation of enterprise data into a central repository, although possible, is both expensive and time consuming.A logical data warehouse is a modern data architecture that allows organisations to leverage all of their data...
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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...
Read MoreLeading Biopharma Company Leverages Data Virtualization to Gain Speed, Efficiency, and Agility. This customer case study will cover: Company's business challenge How they used data virtualization to address this business challenge Why they chose the Denodo platformWhat the benefits of data virtualization are in their particular case
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