Data Integration Connectors
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Property | Description |
|---|---|
Connection Name
| Name of the connection.
Each connection name must be unique within the organization. Connection names can contain alphanumeric characters, spaces, and the following special characters: _ . + -,
Maximum length is 255 characters.
|
Description
| Description of the connection. Maximum length is 4000 characters.
|
Use Secret Vault
| Stores sensitive credentials for this connection in the secrets manager that is configured for your organization.
This property appears only if secrets manager is set up for your organization.
When you enable the secret vault in the connection, you can select
which credentials that the Secure Agent retrieves from the secrets manager. If you
don't enable this option, the credentials are stored in the repository or on a local
Secure Agent, depending on how your organization is configured. If you’re using this connection
to apply data access policies through pushdown or proxy services, you cannot use
the Secret Vault configuration option. For information about how to configure and use a secrets manager, see
"Secrets manager configuration" in the Administrator help .
|
Runtime Environment
| The name of the runtime environment where you want to run tasks. Select a Secure Agent. You cannot use Hosted Agent, elastic runtime environment, and serverless runtime
environment. For more information about how to configure
and use the runtime environments, see Runtime Environments in the
Administrator help. |
Lakehouse Pattern | The pattern of Amazon SageMaker Lakehouse. Pattern is a
combination of catalog type and storage type that you want to connect to. Select
one of the following options:
S3 tables lakehouse pattern is available for preview. Preview functionality is supported for evaluation purposes but is unwarranted and is not supported in production environments or any environment that you plan to push to production. Informatica intends to include the preview functionality in an upcoming release for production use, but might choose not to in accordance with changing market or technical circumstances. For more information, contact Informatica Global Customer Support. |
Athena JDBC URL | The JDBC URL to connect to Amazon Athena. For S3 Data Lake
lakehouse pattern, enter the JDBC URL in the following
format: jdbc:athena://Region=<AWS_Region>;OutputLocation=<S3_Location> For
S3 Tables lakehouse pattern, enter the JDBC URL in the following
format: jdbc:athena://AwsRegion=us-east-1;Catalog=s3tablescatalog/your-bucket-name;Schema=your_namespace; Where
s3tablescatalog/your-bucket-name is your S3 table bucket
catalog and your_namespace is the namespace where your table is
stored. |
