Subject: SAP-Data-Warehouse-Cloud
SAP Data Warehouse Cloud (DWC) and SAP Analytics Cloud (SAC) together form a powerful duo in the SAP ecosystem, enabling organizations to transform raw data into actionable insights. While SAP DWC serves as a robust cloud-native data warehousing platform, SAP Analytics Cloud delivers advanced analytics, visualization, and planning capabilities. Integrating these two solutions allows enterprises to build seamless, end-to-end data-to-insight pipelines.
This article explains how to connect SAP Data Warehouse Cloud with SAP Analytics Cloud, highlighting the benefits, steps, and best practices.
- Unified Data Access: SAC can directly consume curated, governed datasets from DWC, ensuring consistent data across reporting and analytics.
- Enhanced Performance: Leveraging SAP HANA’s in-memory capabilities within DWC provides fast data retrieval for SAC visualizations.
- Simplified Architecture: Eliminates the need for data duplication or complex data extracts.
- Collaborative Analytics: Enables business users and data professionals to work together on a single source of truth.
The integration typically involves:
- Live Data Connection: SAP Analytics Cloud connects live to SAP Data Warehouse Cloud using a secure OData or SQL connection.
- Data Modeling in DWC: Data models (views) are prepared and published in SAP DWC.
- Story Creation in SAC: SAC uses these models to create dashboards, reports, and analytics stories without data replication.
- Use the Data Builder to create calculation views or analytical views representing the datasets you want to expose.
- Ensure these models are published and accessible within the appropriate Space.
- Log in to SAP Analytics Cloud.
- Navigate to Connections and create a new connection.
- Select SAP Data Warehouse Cloud as the connection type.
- Enter the connection details such as the SAP DWC tenant URL and authentication credentials.
- Choose the appropriate authentication method (typically OAuth or Basic Authentication).
- Test the connection to ensure it’s successful.
- In SAC, when creating a new model or story, select the live data connection pointing to SAP DWC.
- Browse and select the published data models.
- Use these models directly in your analytics stories and dashboards.
¶ Step 5: Build Stories and Visualizations
- Leverage SAC’s rich visualization tools to create interactive charts, tables, and reports.
- Use features like filtering, drill-downs, and input controls to explore data dynamically.
- Data Governance: Ensure proper roles and permissions are configured in SAP DWC to control data access.
- Optimize Data Models: Design DWC views with performance in mind by limiting unnecessary columns and pre-aggregating data when possible.
- Secure Connection: Use HTTPS and secure authentication methods.
- Monitor Usage: Track query performance and optimize as necessary in both DWC and SAC.
- Collaboration: Use shared Spaces in DWC and teams in SAC to foster collaboration across business units.
¶ Benefits of the SAP DWC and SAC Integration
- Real-Time Analytics: Live connection ensures up-to-date data without replication delays.
- Reduced IT Complexity: Streamlines the data-to-analytics workflow.
- Flexibility: Supports hybrid landscapes integrating SAP and non-SAP data.
- Self-Service: Empowers business users to build insights without relying heavily on IT.
Connecting SAP Data Warehouse Cloud with SAP Analytics Cloud unlocks a seamless, powerful analytics ecosystem that enables enterprises to harness the full value of their data. This integration facilitates real-time insights, agility, and collaboration, supporting better decision-making and business outcomes.
By understanding and implementing this connection, SAP professionals can deliver integrated data and analytics solutions that align with modern enterprise needs.