From the course: Amazon Web Services: Data Analytics
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Use AWS QuickSight for visualizations - Amazon Web Services (AWS) Tutorial
From the course: Amazon Web Services: Data Analytics
Use AWS QuickSight for visualizations
- In this next section, we're going to pull of all this information together and get to the point of visualization, which I always think is the most fun and satisfying point of analytics. In the beginning of this course, I used a new Amazon service, QuickSight, to do a quick visualization before we even sent the data out to the business users. Really just so we could look at the quality. So if you followed along, QuickSight will be set up. The three steps of QuickSight, is you use it to translate data into meaning, and you want to understand that integrates natively with most AWS data services. Finally, it's a great starting point for analytics. It's a new service, and there are a lot of other analytics products that are a lot more mature that I end up usually using in combination with QuickSight. And those are third party products like Tableau, and ClickView, and Looker, and BIME. But it's a great way to get started. So here we are in the QuickSight in console, and you'll see that…
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Contents
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Query AWS public datasets6m 15s
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(Locked)
Use AWS Glue for ETL10m 11s
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(Locked)
Understanding ETL options7m 25s
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(Locked)
Use AWS QuickSight for visualizations5m 24s
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(Locked)
Use the AWS Marketplace for visualization tools3m 54s
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(Locked)
Summary of tools3m 20s
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(Locked)
Common analytics architecture patterns4m 12s
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