Virtual Admin Workshop: Building an admin console in Amazon QuickSight to analyze usage metrics
Given the scalability of Amazon QuickSight to hundreds and thousands of users, a common use case is to monitor QuickSight group and user activities, analyze the utilization of dashboards, and identify usage patterns of an individual user and dashboard.This workshop will demonstrate how to build an administrative console dashboard and serverless data pipeline. Utilizing the steps outlined in this blog post, we will combine QuickSight APIs with AWS CloudTrail logs to create the datasets to collect comprehensive information of user behavior and QuickSight asset usage patterns.
Workshop prerequisites:
-An AWS account
-Access to the following AWS services: Amazon QuickSight, Amazon Athena, AWS Lambda, Amazon S3
-Basic knowledge of Python
-Optionally, Security Assertion Markup Language 2.0 (SAML 2.0) or OpenID Connect (OIDC) single sign-on (SSO) configured for QuickSight access
Content Links:
Blog:
https://aws.amazon.com/blogs/big-data...
APIs:
https://boto3.amazonaws.com/v1/docume...
CloudTrail:
https://aws.amazon.com/cloudtrail/
CloudFormation Templates:
https://github.com/aws-samples/amazon...
Click this link to register for additional upcoming virtual workshops: https://amazon-quicksight-spring-virt...
To learn more about Amazon QuickSight subscribe here:
/ @amazonquicksight
#AWS #AmazonQuickSight #Workshop #Demo #Admin #Console #Analysis #Dashboard #DataVisualization #Developer #Data