Amazon Web Services has been the leader in the public cloud space since the beginning. Tableau integrates with AWS services to empower enterprises to maximize the return on your organization’s data and to leverage their existing technology investments. It all starts with direct connections to Amazon data sources including Amazon Redshift (including Redshift Spectrum), Amazon Aurora, Amazon Athena and Amazon EMR. Thanks to these market leading integrations, Tableau is the natural choice of platform for analyzing the data stored in Amazon’s data sources. Beyond this, Tableau provides the depth and breadth of capabilities to ensure that data can be confidently deployed across the entire enterprise. Tableau Server runs seamlessly in Amazon’s cloud infrastructure so organizations that prefer to deploy applications on Amazon Web Services have a complete solution offering from Tableau

Tableau and AWS are joining forces to put the power of machine learning-based (ML) predictive analytics into the hands of business analysts with little to no data science experience. With an easy-to-deploy Quick Start-based integration, customers can bring enriching ML insights into their calculated fields, expanding the way organizations use and derive value from their data.

For organizations that are already investing in ML, Amazon SageMaker for Tableau provides a unique opportunity to communicate and share ML with anyone, via self-service analytics. With a few clicks, you can now use ML models built on SageMaker directly within your favorite Tableau dashboards to fully leverage the predictive power of ML.

Get started by launching the Amazon SageMaker for Tableau Quick Start.

Learn more by reading the InterWorks "how-to" blog post and the AWS Partner Network (APN) blog post.

Lastly, don't miss our presentation and demo at AWS Innovate.