#PostgreSQL, MySQL/MariaDB, Microsoft SQL Server, PlanetScale #Amazon Athena #Snowflake #Google Sheets #CSV #Airtable #Sample Data
Athenic AI connects to a variety of data sources including Files and Sheets, Data Warehouses, and SQL Database.
PostgreSQL, MySQL / MariaDB, Microsoft SQL Server, PlanetScale
Fill the Data source name with the name that you'll identify your data source with in Athenic AI
To learn how to obtain your AWS Access Key ID and AWS Secret Access Key, see Access keys on the AWS website
The server name is often the endpoint URL which is formed like "athena.[region].amazonaws.com". You replace [region] with your actual AWS region that Athena is running in. You can find a full list of Athena endpoints in the Amazon Athena Documentation.
If you want to connect with work group, you can find the list of your work group names on the Amazon Athena console.
If you want to connect with S3 result path, you can find the list of your bucks in the AWS S3 service. To construct your S3 bucket path, start with s3:// followed by the bucket name.
Fill the Data source name with the name that you'll identify your data source with in Athenic AI.
Fill in your Snowflake username and password in the user and password fields provided.