Broadcast Date: May 25, 2021

Level: 300

Businesses store critical data in multiple locations, with software as a service (SaaS) providers, and in distributed applications. Organizing this dispersed data for reporting and analysis can be complex and often requires custom middleware that is costly and untimely. This session explains how to configure a data transfer from SaaS applications to a central target with point and click operations. Learn how to validate, map, and modify incoming data and filter what is sent to the target destination. This talk also discusses best practices in securing the transfer of data between resources.

Learning Objectives

  • Learn how to create Amazon AppFlow data transfers
  • Understand how to manipulate data output for security and analysis
  • Use best practices for securing Amazon AppFlow data transfers

Who Should Attend?

Data Analysts and Engineers, IT Managers, Operational Managers


  • Eric Johnson, Prin. Serverless Developer Advocate, AWS

Learn More

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