Amazon DynamoDB
by Amazon Web Services
Serverless key-value and document database on AWS, read through Scan, Query and Streams APIs with SigV4 signing.
- Category
- Cloud & Data Platforms
- Type
- Database
- Interface
- REST API
- Built with
- Connect Anything
- Credentials
- AWS access keys
02Data
What you can sync.
- Items
- Tables
- Streams records
- Table metrics
Load Amazon DynamoDB items into your Lake and model it in the Warehouse with the rest of your stack.
Need more? Name any other Amazon DynamoDB data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- AWS access keys
Amazon DynamoDB 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.
-
Pick Amazon DynamoDB.
Open Lake, pick Amazon DynamoDB in the source picker and name the connection. Connect Anything opens with a ready prompt that points the AI at the Amazon DynamoDB API docs.
-
Answer a few questions.
The AI reads the Amazon DynamoDB documentation, then asks which credentials you will use, which data to sync (for example items and tables), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
-
Your data lands in Lake.
The connector agent writes a Python connector for Amazon DynamoDB, 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.
