To access your data in Amazon S3, create a connection asset for it.
Amazon S3 (Amazon Simple Storage Service) is a service that is offered by Amazon Web Services (AWS) that provides object storage through a web service interface.
For other types of S3-compliant connections, you can use the Generic S3 connection.
Create a connection to Amazon S3
To create the connection asset, you need these connection details:
- Bucket: Bucket name that contains the files. If your AWS credentials have permissions to list buckets and access all buckets, then you only need to supply the credentials. If your credentials don't have the privilege to list buckets and can only access a particular bucket, then you need to specify the bucket.
- Endpoint URL: Use for an AWS GovCloud instance. Include the region code. For example,
https://s3.<region-code>.amazonaws.com. For the list of region codes, see AWS service endpoints. - Region: Amazon Web Services (AWS) region. If you specify an Endpoint URL that is not for the AWS default region (us-west-2), then you should also enter a value for Region.
Select Server proxy to access the Amazon S3 data source through a proxy server. Depending on its setup, a proxy server can provide load balancing, increased security, and privacy. The proxy server settings are independent of the authentication credentials and the personal or shared credentials selection.
- Proxy host: The proxy URL. For example,
https://proxy.example.com. - Proxy port number: The port number to connect to the proxy server. For example,
8080or8443. - The Proxy username and Proxy password fields are optional.
Credentials
The combination of Access key and Secret key is the minimum credentials.
If the Amazon S3 account owner has set up temporary credentials or a Role ARN (Amazon Resource Name), enter the values provided by the Amazon S3 account owner for the applicable authentication combination:
- Access key, Secret key, and Session token
- Access key, Secret key, Role ARN, Role session name, and optional Duration seconds
- Access key, Secret key, Role ARN, Role session name, External ID, and optional Duration seconds
For setup instructions for the Amazon S3 account owner, see Setting up temporary credentials or a Role ARN for Amazon S3.
Choose the method for creating a connection based on where you are in the platform
- In a project
- Click Assets > New asset > Connect to a data source. See Adding a connection to a project.
- In a catalog
- Click Add to catalog > Connection. See Adding a connection asset to a catalog.
- In a deployment space
- Click Import assets > Data access > Connection. See Adding data assets to a deployment space.
- In the Platform assets catalog
- Click New connection. See Adding platform connections.
Next step: Add data assets from the connection
Where you can use this connection
You can use Amazon S3 connections in the following workspaces and tools:
Projects
- Data Refinery (watsonx.ai Studio or IBM Knowledge Catalog)
- DataStage (DataStage service). See Connecting to a data source in DataStage.
- Decision Optimization (watsonx.ai Studio and watsonx.ai Runtime)
- Metadata enrichment (IBM Knowledge Catalog)
- Metadata import (IBM Knowledge Catalog)
- Notebooks (watsonx.ai Studio). Click Read data on the Code snippets pane to get the connection credentials and load the data into a data structure. See Load data from data source connections.
- SPSS Modeler (watsonx.ai Studio)
Catalogs
-
Platform assets catalog
-
Other catalogs (IBM Knowledge Catalog)
- Data Virtualization service
- You can connect to this data source from Data Virtualization. This connection requires special consideration in Data Virtualization. See Connecting to Amazon S3 in Data Virtualization.
Amazon S3 setup
See the Amazon Simple Storage Service User Guide for the setup steps.
Restriction
Folders cannot be named with the slash symbol (/) because the slash symbol is a delimiter for the file structure.
Supported file types
The Amazon S3 connection supports these file types: Avro, CSV, Delimited text, Excel, JSON, ORC, Parquet, SAS, SAV, SHP, and XML.
Table formats
In addition to Flat file, the Amazon S3 connection supports these Data Lake table formats: Delta Lake and Iceberg.
Learn more
Related connection: Generic S3 connection
Parent topic: Supported connections