SAP Data Services
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What Is SAP Data Services?
SAP Data Services is an enterprise solution that offers data integration, profiling, quality, and text processing capabilities. It was formerly called SAP BusinessObjects Data Services.
SAP Data Services enables users to integrate, transform, and load data. SAP Data Services is a comprehensive extraction, transformation, and loading (ETL) tool. It supports loading of structured and unstructured data from SAP and non-SAP data sources into any SAP HANA application.
SAP Data Services combines the ability to execute data integration and ensure data quality and data cleansing.
Key Benefits and Capabilities of SAP Data Services
What Is SAP Data Services?
SAP Data Services is an enterprise solution that offers data integration, profiling, quality, and text processing capabilities. It was formerly called SAP BusinessObjects Data Services.
SAP Data Services enables users to integrate, transform, and load data. SAP Data Services is a comprehensive extraction, transformation, and loading (ETL) tool. It supports loading of structured and unstructured data from SAP and non-SAP data sources into any SAP HANA application.
SAP Data Services combines the ability to execute data integration and ensure data quality and data cleansing.
Key Benefits and Capabilities of SAP Data Services
SAP Data Services allows organizations to achieve a complete view of their information, standardize and match data to reduce duplicates and improve decision-making and operational efficiency, and integrate operational, analytical, machine-generated, and geographic data.
Key capabilities of SAP Data Services include:
- Universal data access
- Data quality dashboards
- Native-text data processing
- Simplified data governance
- Intuitive business user interfaces
- High performance scalability
Who Uses SAP Data Services?
According to SAPinsider contributor Michael Vavlitis, several types of users can leverage SAP Data Services, including source system experts, data analysts, developers, and ETL operation managers/data architects.
The core responsibilities of these roles can be summarized as follows:
- Source system experts – Provide information, metadata about source system and data content, as well as what tables and views to connect through using SAP Data Services
- Data analysts – Translate business requirements into functional requirements and required source data needs. Validate data test results, transformations, and data-cleansing activities.
- SAP Data Services developers – Create technical specs based on input from the data analysts. Responsible for developing all objects, schedules, and test procedures.
- ETL operations managers or data architects – Monitor daily processing of ETL jobs, error logs, manual fixes, connectivity, and security. Upgrade and apply SPs and SAP Notes to maintain the overall application. Track key performance indicators (KPIs) for service level agreements (SLAs), system availability, and overall performance. Responsible for maintaining development standards, standard operating procedures (SOPs), naming conventions, data dictionary, structured walkthroughs, and approvals. Act as the overall data architect for the SAP Data Services and related systems.
In 2019 Nancy Ochs explained during an SAPinsider event how CSL Plasma, a leader in plasma collection, enabled analytics advancements. The company divided its integrated SAP Data Services from the SAP BusinessObjects BI Platform to provide additional features and capabilities in data management and gain the ability to apply updates to the analytics platform and enterprise information management components independently. View the event presentation slides.
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How to Configure and Explore Geographic Data within an Explorer 4.1 Information Space
Reading time: 8 mins
Learn basic concepts of SAP BusinessObjects Explorer 4.1. With these easy-to-follow, step-by-step instructions, learn how to configure geographic data within an Explorer 4.1 information space so that geographical data can be displayed and analyzed in a map. Also learn how to configure country, region, state, and city data fields for analysis. Key Concept An SAP...…
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