Solutions
Amazon Web Services
Amazon Web Services has been the dominant 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.
Visit us at AWS re:Invent
Tableau: The leading analytics platform is built for AWS
Tableau will radically transform the way your business sees and understands data. Our cloud-based analytics platform exceeds the needs of business users, while meeting all of IT’s requirements around security, scalability and reliability. Not currently a cloud-first organization? Not a problem. The Tableau platform gives you the flexibility to efficiently deliver and manage your analytics whether you’re full cloud or require a hybrid approach to connecting to on-prem and cloud data.
Join us on November 26-30 in Las Vegas at Booth #1428 in the Expo Hall located at the Venetian.
Mining for Gold by Scaling Data-Driven Decision Making
Speaker: Ken Hartling, Chief of Digital Ops & Business Apps, Barrick Gold
Speaker: Sham Chotai, Chief Digital Officer, Barrick Gold
Barrick Gold—the largest gold mining company in the world—developed an integrated data platform on AWS using Tableau to run analytics seamlessly on the AWS Cloud. Key integrations between Tableau, Amazon EMR, and Amazon Kinesis allowed Barrick to establish a fast and secure data pipeline, while Tableau Server deployed on Amazon EC2 enabled a scalable, highly available, and performant analytics platform. In this session, learn strategies to leverage automated scripts to scale key components up and out, and learn how to significantly reduce the administrative workload facing many IT teams by allowing end users to make their own informed, data-driven decisions.
Vanguard's Journey with Tableau to the AWS Cloud
Speaker: Sharan Patil - Senior CTO Program Manager, Cloud/Platform as a Service
With over $5 trillion in assets under management, Vanguard requires a secure, flexible, and fast data and analytics platform. By deploying Tableau on AWS, Vanguard was able to move from their private cloud to the AWS Cloud, and significantly reduce the administrative workload of Vanguard's IT team, allowing them to focus on innovating. In this session, learn how mission-critical processes such as configuring deployments, adding nodes, and creating backups are automated via scripts. Expect to leave with a clear picture of how a global deployment of Tableau on AWS supports peak surges and avoids the sunk costs of on-premises hardware.
Next Generation Cloud Intelligence
Together, AWS and Tableau create a powerful cloud analytics platform. You can perform every step of the analytics journey: data collection, transformation, storage and analysis, at enterprise scale with AWS and Tableau products. Get started today to see for yourself.
Learn more about Tableau Server on AWS
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.
Tableau: Tableau Online on AWS
In this episode of This Is My Architecture, Russell Christopher, Product Manager at Tableau Software, explains how we built Tableau Online, our fully hosted analytics platform in the cloud. You'll learn about how leveraged EC2 Windows and multiple data stores including PostgreSQL, ElastiCache Redis, and Amazon S3 to build a scalable, multi-tenant solution on AWS.
Watch the presentation
