Data Virtualization: Powering Distributed Access to Data, Analytics, and Insights
Thursday, January 18th, 2024: 12:00 PM to 1:00 PM
Join us to hear James Kobielus, TDWI senior research director for data management, and Nik Acheson, data and analytics product, strategy, and enterprise architecture leader from Dremio
Virtual
It's difficult for enterprises to manage enterprise data effectively when it's scattered across diverse platforms, geographies, and lines of business.
Data virtualization is a powerful approach for managing data sprawl while improving data application accessibility, performance, and service levels. Virtualization unifies access to dispersed, heterogeneous data assets as if they were on a single platform. Through a metadata-rich abstraction layer, it enables centralized management of data and analytics resources, workloads, and applications.
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