Confluent has made significant progress on integrating Tableflow with Amazon SageMaker Lakehouse, enabling seamless materialization and consumption of Iceberg tables within the AWS analytics ecosystem. This powerful integration allows users to effortlessly bring streaming data from Kafka into their data lake in Apache Iceberg format and make it readily available for AWS Analytics engines or open source tools to consume using Amazon SageMaker Lakehouse via AWS Glue Data Catalog. The unification of operational and analytical estates demands unified data management and governance, which is addressed by Tableflow seamlessly integrating with Amazon SageMaker Lakehouse. This integration enables the materialization of Kafka topics into Iceberg tables stored in S3, with AWS Glue Data Catalog serving as the Apache Iceberg Catalog.