On-Demand Webinar

Migrate and Modernize With SAS® Viya® on Azure

Learn the advantages of migrating your data and analytic workloads to the cloud, how to get started and the types of cloud-native data sources to consider.

About the webinar

Organizations and IT leaders know the many benefits of moving to the cloud – in fact most organizations are using Microsoft Azure or another public cloud already.

But there are still organizations that have not moved all their business-critical applications and data to the cloud.

In this webinar, we will dive into the advantages of migrating your data and analytic workloads to the cloud and discuss what types of cloud-native data sources you should consider.

Our presenters will also discuss the many economic and technical advantages of migration and modernization, including scalability and agility.

Why attend?

  • Learn the key data benefits of migrating and modernizing analytics with SAS Viya and Microsoft Azure.
  • Discover how seamless integration enables organizations to quickly execute modernization efforts.
  • Hear how SAS DataOps provides an agile approach to data access, quality, prep and governance that results in reliability, adaptability and speed.

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About the Experts


Nick Johnson
Product Marketing Manager, SAS

Nick Johnson is a Global Product Marketing Manager for the SAS strategic partnership with Microsoft. He is responsible for the integration of SAS Viya with Microsoft Azure, Microsoft Power Platform, Microsoft Dynamics 365 and Microsoft 365. Previously, Johnson worked as a management consultant in the technology industry. He holds a master's in international development from Sciences Po Paris.


James Ochiai-Brown
Principal Business Solutions Manager, SAS

James Ochiai-Brown is a big data analytics architect, specializing in the implementation of big data analytics in organizations. His expertise covers enterprise analytics in the cloud, analytics life cycle, analytics operating models, data operations and other technology that helps to embed analytics within an organization.