Case Study: Amazon Web Services achieves rapid Tableau machine learning integration with InterWorks

A InterWorks Case Study

Preview of the Amazon Web Services (AWS) Case Study

Amazon Web Services launches SageMaker for Tableau in under four months with InterWorks

The customer, Amazon Web Services (AWS), faced the challenge of creating a complex, reliable, and fast integration between its Amazon SageMaker service and Tableau Software. The goal was to democratize machine learning for Tableau users by allowing them to connect and get insights in under two seconds, with an ambitious deadline to launch at the AWS re:Invent conference. To achieve this, AWS engaged the vendor, InterWorks, for its development expertise.

InterWorks immediately coordinated with AWS and Tableau teams to validate the architecture and develop the integration through a fast-paced, multi-phase process. The solution was built, tested, and launched in under four months, meeting the deadline for the conference. The resulting Amazon SageMaker for Tableau integration allows users to bring machine learning insights directly into their dashboards almost immediately after a quick start deployment.


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