Amazon OpenSearch Service
by Amazon Web Services
Managed OpenSearch on AWS; domains and serverless collections are queried over HTTPS with SigV4-signed requests.
- Category
- Cloud & Data Platforms
- Type
- Search engine
- Interface
- REST API
- Built with
- Connect Anything
- Credentials
- AWS access keys, Username and password
02Data
What you can sync.
- Documents
- Search results
- Aggregations
- Indices
Load Amazon OpenSearch Service documents into your Lake and model it in the Warehouse with the rest of your stack.
Need more? Name any other Amazon OpenSearch Service data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- AWS access keys
- A username and password
Amazon OpenSearch Service uses AWS access keys or a username and password. 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 OpenSearch Service.
Open Lake, pick Amazon OpenSearch Service in the source picker and name the connection. Connect Anything opens with a ready prompt that points the AI at the Amazon OpenSearch Service API docs.
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Answer a few questions.
The AI reads the Amazon OpenSearch Service documentation, then asks which credentials you will use, which data to sync (for example documents and search results), 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 OpenSearch Service, 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.
