AWS Cost Explorer
by Amazon Web Services
AWS service and API for querying cost and usage data, forecasts and reservation and Savings Plans coverage across AWS accounts.
- Category
- Cloud & Data Platforms
- Type
- Cloud billing
- Interface
- REST API
- Built with
- Connect Anything
- Credentials
- AWS access keys
02Data
What you can sync.
- Cost and usage
- Cost forecasts
- Reservation utilization
- Savings plans coverage
- Rightsizing recommendations
Load AWS Cost Explorer cost and usage into your Lake and model it in the Warehouse with the rest of your stack.
Need more? Name any other AWS Cost Explorer data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- AWS access keys
AWS Cost Explorer 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 AWS Cost Explorer.
Open Lake, pick AWS Cost Explorer in the source picker and name the connection. Connect Anything opens with a ready prompt that points the AI at the AWS Cost Explorer API docs.
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Answer a few questions.
The AI reads the AWS Cost Explorer documentation, then asks which credentials you will use, which data to sync (for example cost and usage and cost forecasts), 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 AWS Cost Explorer, 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.
