Amazon Quick Sight
by Amazon Web Services
Serverless BI service in Amazon Quick (formerly Amazon QuickSight); its API lists dashboards, datasets, analyses and users.
- Category
- Cloud & Data Platforms
- Type
- BI & reporting
- Interface
- REST API
- Built with
- Connect Anything
- Credentials
- AWS access keys
02Data
What you can sync.
- Dashboards
- Datasets
- Analyses
- Users
- Ingestions
Put Amazon Quick Sight dashboards next to revenue and usage, so every cost has an owner and a reason.
Need more? Name any other Amazon Quick Sight data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- AWS access keys
Amazon Quick Sight uses AWS access keys. You add the credentials once, when the AI asks for them, and it tells you where to create them in Amazon Web Services if you need help.
04How it works
How it works in DataMind.
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Pick Amazon Quick Sight.
Open Lake, pick Amazon Quick Sight in the source picker and name the connection. Connect Anything opens with a ready prompt that points the AI at the Amazon Quick Sight API docs.
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Answer a few questions.
The AI reads the Amazon Quick Sight documentation, then asks which credentials you will use, which data to sync (for example dashboards and datasets), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
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Your data lands in Lake.
The connector agent writes a Python connector for Amazon Quick Sight, tests it against the live API and shows you sample rows. Then the data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
