SAP Datasphere August Updates: Batches, New Sources & Targets, and SAC Excel Add-in
PorAinvest
martes, 2 de septiembre de 2025, 1:12 am ET1 min de lectura
MSFT--
Key Features:
1. Transformation Flow Batch Processing: SAP Datasphere has introduced a new feature allowing users to break down large transformation flow datasets into batches. This helps in avoiding out-of-memory (OOM) errors when using the SAP HANA runtime. By defining batches on transformation flows, users can improve performance and reliability while ensuring efficient data integration and processing. This feature is accessible under the Batches tab in the data integration monitor [1].
2. Microsoft OneLake and SAP Signavio Integration: The platform now supports Microsoft OneLake as a source for replication flows, enabling data replication in CSV format from the source for initial loads. Additionally, SAP Signavio can be used as a target for replication flows, facilitating efficient and scalable data replication into the SAP Signavio solution [1].
3. SAP Analytics Cloud Add-in for Microsoft Excel: With the QRC 3 release, users can transfer tables from SAP Analytics Cloud (SAC) stories to Excel and utilize the add-in. This allows for real-time data manipulation using native Excel capabilities, enhancing the user experience and report customization [1].
Learning Initiatives:
Starting September 10, 2025, SAP Datasphere is launching a Getting Started Series with three modules. These modules cover building intelligent applications, fueling AI innovation with SAP Databricks, and creating and enriching analytical models with SAP Datasphere. The series aims to equip users with the knowledge and skills necessary to leverage these tools effectively [1].
References:
[1] SAP Datasphere News in August. Retrieved from https://community.sap.com/t5/technology-blog-posts-by-sap/sap-datasphere-news-in-august/ba-p/14202859
SAP--
SAP Datasphere has released two new deliveries in August, featuring top features such as Transformation Flow batch processing, Microsoft OneLake and SAP Signavio as source and target systems for Replication Flows, and SAP Analytics Cloud add-in for Microsoft Excel. The platform has also introduced a Getting Started Series starting September 10, covering modules on building intelligent applications, fueling AI innovation with SAP Databricks, and creating and enriching analytical models with SAP Datasphere.
SAP Datasphere, a comprehensive data management and analytics platform, has unveiled two significant updates in August 2025. These new features and initiatives are designed to enhance data processing capabilities, facilitate efficient data replication, and empower users with advanced analytics tools.Key Features:
1. Transformation Flow Batch Processing: SAP Datasphere has introduced a new feature allowing users to break down large transformation flow datasets into batches. This helps in avoiding out-of-memory (OOM) errors when using the SAP HANA runtime. By defining batches on transformation flows, users can improve performance and reliability while ensuring efficient data integration and processing. This feature is accessible under the Batches tab in the data integration monitor [1].
2. Microsoft OneLake and SAP Signavio Integration: The platform now supports Microsoft OneLake as a source for replication flows, enabling data replication in CSV format from the source for initial loads. Additionally, SAP Signavio can be used as a target for replication flows, facilitating efficient and scalable data replication into the SAP Signavio solution [1].
3. SAP Analytics Cloud Add-in for Microsoft Excel: With the QRC 3 release, users can transfer tables from SAP Analytics Cloud (SAC) stories to Excel and utilize the add-in. This allows for real-time data manipulation using native Excel capabilities, enhancing the user experience and report customization [1].
Learning Initiatives:
Starting September 10, 2025, SAP Datasphere is launching a Getting Started Series with three modules. These modules cover building intelligent applications, fueling AI innovation with SAP Databricks, and creating and enriching analytical models with SAP Datasphere. The series aims to equip users with the knowledge and skills necessary to leverage these tools effectively [1].
References:
[1] SAP Datasphere News in August. Retrieved from https://community.sap.com/t5/technology-blog-posts-by-sap/sap-datasphere-news-in-august/ba-p/14202859

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