Native connectors from Tableau to AWS services ensure you experience optimal performance when connecting to and analyzing data in the cloud. It also ensures the full capabilities of AWS services work seamlessly when you are using Tableau. Examples of existing native Tableau integrations include Amazon Redshift, Amazon Redshift Spectrum, Amazon Aurora, Amazon Athena, and Amazon EMR.

We are demonstrating a new integration with the Amazon SageMaker machine learning (ML) service at the Tableau Conference this week in New Orleans. ML is an active area of innovation today, offering new ways to find patterns in data. But it remains beyond reach of many of us who lack the specialized skills and training of data scientists and ML experts. We want to make advanced analytics like machine learning accessible to more people.

Coming soon, the Tableau Extension for Amazon SageMaker will enable you to to build, train, and deploy SageMaker ML models directly from a Tableau dashboard. Customers who want to try it out can sign up for the pre-release.

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Tableau Software Inc. published this content on 23 October 2018 and is solely responsible for the information contained herein. Distributed by Public, unedited and unaltered, on 23 October 2018 16:12:01 UTC