How to use AWS Data Analytics in ChatGPT
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Open AWS Data Analytics in ChatGPT’s plugin directory
Open AWS Data Analytics’s page on chatgpt.com. Sign in to ChatGPT if you are not already.
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Install it from that page
Choose Install plugin there. It adds the AWS Data Analytics app and 9 skills to ChatGPT.
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Mention AWS Data Analytics in a chat
Start a new chat and name AWS Data Analytics in your request.
Availability can depend on your ChatGPT plan, your region and, on work accounts, your admin’s settings.
What AWS Data Analytics does
Data lake, analytics, and ETL workflows with S3 Tables, AWS Glue, and Athena. Covers managed Iceberg tables on S3 Tables, ingestion from JDBC databases, Amazon Redshift, Snowflake, BigQuery, and DynamoDB, AWS Glue Data Catalog inventory and asset discovery, federated Athena queries, and vector storage and semantic search on Amazon S3 Vectors.
From the official listing, written by Amazon Web Services.
9 skills included
Packaged instructions ChatGPT follows for a specific task when AWS Data Analytics is in use.
- Amazon opensearch service
- Connecting to data source
- Creating data lake table
- Exploring data catalog
- Finding data lake assets
- Ingesting into data lake
- Querying data lake
- Redshift guide
- Storing and querying vectors
What AWS Data Analytics can access
The official listing names no Read or Write capability for AWS Data Analytics. Check what it asks for when you add it, and connect only the accounts you want it to use.
Before you connect it
OpenAI’s plugin pages note that a connected plugin may receive relevant parts of your chats to answer a request, and that Amazon Web Services’s own terms and privacy policy then cover that data. You can disconnect a plugin later in ChatGPT’s settings. Read the privacy policy (docs.aws.amazon.com) and terms (aws.amazon.com).
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