The aim of this project is to discover/test Analytics solution of AWS. I'm familiar w/ Google Analytics, but I didn't find a similar solution on AWS-world. But it seems I can reach same level of insight by combining different AWS modules and set up a data stream from Kinesis Data Streams to QuickSight:
 |
|---|
| Data stream from Kinesis Data Streams to QuickSight |
Amplify supports Amazon Kinesis Data Streams to deliver logs from the front-end to QuickSight.
- Kinesis Data Firehose delivery stream delivers data to S3 through Kinesis Data Stream.
- AWS Glue runs a crawler that gathers data from the S3 bucket.
- Then you are ready to query the data from S3 through AWS Glue by Athena.
- Visualise data on QuickSight.
Then I've decided to write a tutorial to guide you through setting up an AWS backend and integrating that backend with your Angular web app. You will create an app with a GraphQL API to store and retrieve your team players in a cloud database, as well as receive updates over a realtime subscription. Then we'll add some extra features to our app:
- Analytics
- track user events (sessions, click, etc.)
- get a Dashboard insights w/ QuickSight
- Authentication
- Connect Cognito to Pinpoint
- In-app messaging
- AWS Lambda function w/ Serverless Framework
A step by step series of examples that tell you how to get a development env running
Say what the step will be
Give the example
And repeat
until finished
Run ng serve for a dev server. Navigate to http://localhost:4200/. The application will automatically reload if you change any of the source files.
Run ng build to build the project. The build artifacts will be stored in the dist/ directory.
Run ng test to execute the unit tests via Karma.
Run ng e2e to execute the end-to-end tests via a platform of your choice. To use this command, you need to first add a package that implements end-to-end testing capabilities.
Add additional notes about how to deploy this on a live system
Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.
We use SemVer for versioning. For the versions available, see the tags on this repository.
- DealwithData (yt) - End to End Simple Data Analytics Solution using AWS Services
- AWS Amplify API / AnalyticsClass
- Leveraging Amazon Pinpoint Analytics to Improve Application Performance and User Experience | AWS - Data Analytics for Beginners from AWS Experts
- Web Dev Journey (yt)- Amplify - Analytics
- Daijiro Wachi (medium) - Improve UX by observability in front-end with Amplify and QuickSight
- docs.amplify.aws/lib/analytics
- docs.amplify.aws/start/getting-started/auth