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[LIVE Presentation: AWS re:Invent 2016] Deploy Scalable, Self-Service BI on AWS

Data is growing at a quantum scale and one of the challenges you face is to enable your users to analyze all this data, extract timely insights from it, and visualize it. In this session, you will learn about business intelligence solutions available on AWS. We discuss best practices for deploying a scalable and self-serve BI platform capable of churning through large datasets.

Fanatics, the nation’s largest online seller of licensed sports apparel, talks about their experience building a globally distributed BI platform on AWS, that delivers massive volumes of reports, dashboards, and charts on a daily basis to an ever growing user base.

Fanatics shares the architecture of their data platform, built using Amazon Redshift, Amazon S3, and open source frameworks like Presto and Spark. They talk in detail about their BI platform including Tableau, Microstrategy, and other tools on AWS to make it easy for their analysts to perform ad-hoc analysis and get real-time updates, alerts, and visualizations.

You will also learn about the experimentation-based approach that Fanatics adopted to fully engage their business intelligence community and make optimal use of their BI platform resources on AWS.
Recorded Dec 13 2016 40 mins
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Presented by
Rahul Bhartia and Amit Jain, Fanatics
Presentation preview: [LIVE Presentation: AWS re:Invent 2016] Deploy Scalable, Self-Service BI on AWS

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  • Title: [LIVE Presentation: AWS re:Invent 2016] Deploy Scalable, Self-Service BI on AWS
  • Live at: Dec 13 2016 2:30 pm
  • Presented by: Rahul Bhartia and Amit Jain, Fanatics
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