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Amazon Web Services

Tableau is purpose-built to help organizations unlock the full value of their AWS data investments. Native connectivity to key AWS services including Amazon Redshift, Amazon Aurora, Amazon Athena, Amazon EMR, and Amazon S3, provides fast, scalable analytics. With deep integrations across the AWS ecosystem—including support for AWS IAM for secure, seamless authentication—Tableau empowers teams to explore, visualize, and act on their AWS data. Additionally, as part of our recently expanded partnership, Salesforce and AWS now offer Tableau Cloud through AWS Marketplace Private Offers.

Amazon SageMaker for Tableau

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      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.

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      It was really easy to be able to connect Tableau with AWS. There are already built-in connectors for the different databases that we have. For example, we have data in SQL server, MySQL, Postgres, Redshift. So we're able to connect to all that out of the box with Tableau.

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