Introduction to Amazon SageMaker Lakehouse Connector
Introduction to
Amazon
SageMaker Lakehouse
Connector
You can use
Amazon
SageMaker Lakehouse
Connector to read from and write to Apache Iceberg tables, that are managed by the AWS Glue Data Catalog or S3 tables catalog and stored in Amazon S3, within Amazon SageMaker Lakehouse.
You can use an
Amazon
SageMaker Lakehouse
connection as a source or target only in mappings in advanced mode.
When you configure an
Amazon
SageMaker Lakehouse
connection, you can select the lakehouse pattern that is a combination of catalog type and
storage type that you want to connect to. To read from an AWS Glue Data catalog, select the S3
Data Lake lakehouse pattern. To read from an S3 tables catalog, select the S3 Tables lakehouse
pattern.
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.
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