Amazon Kinesis Data Streams
by Amazon Web Services
AWS real-time data streaming service; records are read from shards with SigV4-signed GetRecords calls or the KCL.
- Category
- Cloud & Data Platforms
- Type
- Streaming & messaging
- Interface
- REST API
- Built with
- Connect Anything
- Credentials
- AWS access keys
02Data
What you can sync.
- Stream records
- Shards
- Streams
Put Amazon Kinesis Data Streams stream records next to revenue and usage, so every cost has an owner and a reason.
Need more? Name any other Amazon Kinesis Data Streams data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- AWS access keys
Amazon Kinesis Data Streams 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 Kinesis Data Streams.
Open Lake, pick Amazon Kinesis Data Streams in the source picker and name the connection. Connect Anything opens with a ready prompt that points the AI at the Amazon Kinesis Data Streams API docs.
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Answer a few questions.
The AI reads the Amazon Kinesis Data Streams documentation, then asks which credentials you will use, which data to sync (for example stream records and shards), 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 Kinesis Data Streams, 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.
05Related
