IBM Data Platform Ideas Portal for Customers


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Status Submitted
Workspace watsonx.data intelligence
Components watsonx.data intelligence - General
Created by Guest
Created on Sep 24, 2026

RELATED IDEAS

Support Entra ID client secret credential (Service Principal) for Azure Blob Storage staging in Microsoft Azure Fabric Warehouse connector

Problem statement: The Microsoft Azure Fabric Warehouse connector in IBM DataStage SaaS supports a bulk write (Load) mode that requires Azure Blob Storage as a staging layer via COPY INTO. However, the Azure Blob Storage staging option within the Fabric Warehouse platform connection only supports "Entra ID username password credential" authentication. Enterprise environments universally use "Entra ID client secret credential" (Service Principal with Client ID and Client Secret) as their standard authentication method for Azure resources, which is already the supported method for the main Fabric Warehouse connection credentials in CP4D. This incompatibility makes the bulk write mode entirely unusable in enterprise deployments, affecting all DataStage jobs that write to Fabric Warehouse, including ETL pipelines and Data Quality pipelines.

Current workaround: None. The only alternative is row-based insert mode, which delivers approximately 2-4 rows/second compared to 550+ rows/second with bulk mode, making production-scale pipelines operationally unviable.

Proposed solution: Add support for "Entra ID client secret credential" (Service Principal with Client ID and Client Secret) as an authentication option for the Azure Blob Storage staging configuration within the Fabric Warehouse platform connection in CP4D. This is already the standard authentication method supported for the main Fabric Warehouse connection and should be consistent across all connection options.

Benefits and value: This would unblock bulk write mode for all enterprise customers using Microsoft Azure Fabric Warehouse with Service Principal authentication, which is the standard in regulated industries such as financial services. It would enable production-scale data pipelines via DataStage with significantly improved throughput.

Users impacted: All enterprise customers using IBM DataStage SaaS with Microsoft Azure Fabric Warehouse and Entra ID Service Principal authentication. Impact is continuous on every DataStage job execution writing to Fabric Warehouse.

Needed By Yesterday (Let's go already!)
  • Guest
    Sep 24, 2026

    Strongly support this request. This enhancement would remove an important barrier for enterprise customers and make the solution much easier to adopt in real-world environments.

    Reply

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