On-Demand Webinar

Implementing a Modern Data Platform Powered by Tableau and AWS

How Pearson modernized their analytics platform

Processing the volume and variety of data that today’s organizations produce can be both challenging and costly – especially with a legacy data platform. Combining the analytics platform capabilities of Tableau with the scale and performance of the cloud with Amazon Web Services (AWS) can help you overcome these obstacles. With a cloud-based analytics platform, organizations can store, process, and analyze massive volumes of data of virtually any type.

Pearson - an education and media conglomerate - will share in detail how they built a scalable and flexible business intelligence platform on the cloud, with Tableau and AWS. Register for this upcoming webinar, where you'll learn:

  • How Pearson used Tableau and AWS to empower their users and implement analytics on a modern data warehouse
  • How a modern data analytics platform on Tableau and AWS can help you overcome scalability, cost, and analytics challenges presented by legacy data warehouses.
  • How solutions from Tableau and AWS can enhance your data analytics platform.
  • How to leveraging our market-leading integrations with Amazon S3, Redshift, Athena, as well as some tips on how to make the joint solution efficient and performant.

About the speakers

Jason Lokkesmoe

Head of Analytics, Product Management at Pearson

Francois Zimmermann

Technical Evangelist, EMEA

Chris Burns

Senior AI/ML Solutions Architect
Technical Considerations for Modern Data Analytics at Pearson: How and why a global learning company decided to use Tableau on Amazon Web Services (AWS) for its analytics solution
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