Using SAP BW Bridge Process Chains in SAP Datasphere Task Chains
To enable end-to-end orchestration of data flows across SAP BW bridge and SAP Datasphere environments, you can run SAP BW bridge process chains inside of SAP Datasphere task chains.
Purpose and benefits of integrating SAP BW bridge process chains in SAP Datasphere task chains
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Unified scheduling and monitoring across all systems: The integration of SAP BW bridge process chains (e.g. for data loads, transformations) with SAP Datasphere task chains allows for a centralized control and monitoring of all data processing steps, regardless of whether they originate in SAP BW bridge or in SAP Datasphere.
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Seamless integration of legacy data flows from BW systems and modern operations in SAP Datasphere: SAP BW bridge process chains often handle legacy BW logic or data preparation. By embedding them into SAP Datasphere task chains, you ensure that BW data is being processed and made available in sync with the more modern SAP Datasphere operations.
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Automation of hybrid workflows: By embedding SAP BW bridge process chains in SAP Datasphere task chains, you can automate complex workflows that span SAP BW bridge (e.g. loading data from SAP ECC) and SAP Datasphere (e.g. enriching data and publishing data to customers), reducing manual effort and improving reliability.
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Data availability for consumption in SAP Dataspere models: Running SAP BW bridge process chains ensures that data is up-to-date and ready for consumption in SAP Datasphere views and analytic models.
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Operational efficiency: Task chains can include conditional logic, retries, and notifications, enhancing the robustness of SAP BW bridge operations.