Data Virtualization: Powering Distributed Access to Data, Analytics, and Insights
Webinar Speaker: James Kobielus, Senior Research Director for Data Management
Date: Thursday, January 18, 2024
Time: 9:00 a.m. PT / 12:00 p.m. ET
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.
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, explore how data virtualization:
- Provides unified, self-service access to heterogeneous data distributed across hybrid cloud, multicloud, and other complex data infrastructures
- Provides a high-performance user experience across distributed data, reducing time to insight and improving reuse of analytics and data without compromising quality or security
- Plays a key role in a comprehensive enterprise data and analytics modernization initiative and accelerates data democratization
Field Chief Data Officer (CDO)
Nik Acheson is a senior product and strategy leader at Dremio. He has delivered digital and technology transformations at massive scale at organizations such as Nike, Zendesk, AEO, Philips, and the NSA. Prior to joining Dremio, he was the CDO at Okera (Acquired by Databricks).