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BigQuery Lakehouse adds SAP BDC integration

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feature announcement

BigQuery's Lakehouse for Apache Iceberg now supports integration with SAP Business Data Cloud (BDC) in preview, enabling cross-cloud data sharing and querying. This allows users to synchronize data, query SAP tables directly from BigQuery, and publish BigQuery data products to SAP Datasphere. The integration impacts engineers and architects working with SAP and Google Cloud data platforms, with a known issue affecting Data Products containing special characters.

Features (1) ›
  • BigQuery

    Lakehouse for Apache Iceberg : 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 G

    Lakehouse for Apache IcebergSet up cross-cloud Lakehouse for SAP BDCQuery SAP BDC dataPublish Lakehouse tables to SAP BDC
Known issues (1) ›
  • BigQuery

    Lakehouse for Apache Iceberg : 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.

    Lakehouse for Apache Iceberg
Read the original announcement →

https://docs.cloud.google.com/release-notes#July_20_2026

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