Use Amazon QuickSight to visualize public data which is part of a RDS PostgreSQL instance. Examine default sample QuickSight 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 QuickSight has discovered…
- Explain the difference between files and databases.
- Identify examples of batching, micro-batching, and streaming.
- Prepare helpful data visualizations with QuickSight.
- Recognize the different types of analytics available in AWS.
- Demonstrate how to set up AWS CLI.
- Describe common analytics architecture patterns.
Skill Level Intermediate
Amazon Web Services for Data Sciencewith Lynn Langit3h 56m Intermediate
1. Analytics on AWS
2. Analytic Services
3. AWS Code Tools for Analytics
4. Advanced Analytics
Next steps1m 20s
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