Lakehouse for Apache Iceberg: Cross-cloud Lakehouse now supports integration with SAP Business Data Cloud

## Feature Feature [_Lakehouse for Apache Iceberg_](https://cloud.google.com/lakehouse/docs/introduction): Cross-cloud Lakehouse now supports integration with SAP Business Data Cloud (BDC) in Preview. This update includes the following features: * **Federation from SAP BDC:** Create Delta Sharing catalogs in Lakehouse to automatically synchronize shares, schemas, and tables from SAP BDC. * **Querying SAP data:** Query synchronized SAP BDC tables directly from BigQuery without data migration. * **Publishing to SAP BDC:** Publish Apache Iceberg REST catalog (IRC) tables or Knowledge Catalog Data Products from Lakehouse directly to SAP BDC, allowing SAP users and applications to consume Google Cloud data directly as remote tables in SAP Datasphere without migrating data. For more information, see [Set up cross-cloud Lakehouse for SAP BDC](https://cloud.google.com/lakehouse/docs/set-up-cross-cloud-lakehouse-sap-bdc), [Query SAP BDC data](https://cloud.google.com/lakehouse/docs/query-sap-data), and [Publish Lakehouse tables to SAP BDC](https://cloud.google.com/lakehouse/docs/publish-data-to-sap-bdc). ## Issue Issue [_Lakehouse for Apache Iceberg_](https://cloud.google.com/lakehouse/docs/introduction): Data Products with special characters, such as "/" or "-", are not supported and will not be available in BigQuery even if shared from SAP BDC to BigQuery. If you share a Data Product with special characters, this could cause the stop a refresh and require re-enrollment. Known SAP systems producing these Data Products include SAP Business Warehouse (BW) sources and SAP SuccessFactors.