On Demand Webinar

Moving Analytic Workloads to the Cloud (ANZ)

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Webinar Series: In the Clouds

Organizations are pivoting to adjust to a new normal, especially during times of crisis, can sustain exponential revenue growth when business conditions return to normal. To compete effectively and rapidly respond to changing conditions, organizations need scalable, agile, and highly automated solutions that deliver insights quickly across multiple use cases leveraging a unified data architecture. 

We will discuss today’s need to simplify IT complexity to support new analytic requirements by delivering as-needed storage, compute-intensive workloads, and global access to your data lake via the web. Best practices to support agile ad-hoc, advanced analytics, as well as scalable AI-powered self-service analytics from a single analytics platform using your data lake will also be discussed.

What you will learn: 

  • Accelerate data-driven insights using the cloud. 
  • Assess best practices to migrate data and workloads through the cloud.
  • Deliver centralized, embedded + ad-hoc advanced analytic approaches across multiple use cases. 

Featured Speakers

David McAmis

ISV Success Manager, APAC Data, Analytics, AI/ML

AWS

Adam Blau

Head of Partner Product Marketing

Sisense

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