An SAP Data Sphere data warehouse, focusing on data integration, modeling, and governance. It covers the fundamentals of SAP data warehousing and progresses to advanced topics like data modeling and integration. The course equips learners with the skills to utilize Data sphere for data-driven decision-making and deriving business insights.
Key Features of Course Divine:
Career Opportunities After SAP Data Sphere:
Essential skills you will Develop SAP Data Sphere:
Tools Covered:
SAP Data Sphere (formerly SAP Data Warehouse Cloud):
Core platform for unified data integration, modeling, and access.
SAP HANA Cloud:
In-memory database for real-time analytics and data storage.
SAP Data Intelligence:
Tool for data integration, orchestration, and pipeline management.
Syllabus:
Module 1: Introduction to SAP Data spher What is SAP Data sphere (formerly SAP Data Warehouse Cloud) Architecture overview and key components Integration with SAP Business Technology Platfor Comparison with SAP BW/4HANA and SAP HANA Cloud.
Module 2: Data sphere Environment Setup Creating a Data sphere tenant Navigating the Data sphere interface Space creation and role assignment Best practices for space and access management.
Module 3: Data Integration and Connectivity Connecting to SAP and non-SAP sources Using Smart Data Integration (SDI) and Smart Data Access (SDA) Importing data from SAP HANA, BW, S/4HANA, and third-party sources Data provisioning and replication options.
Module 4: Data Modeling in Data sphere Creating and managing graphical views
Fact and dimension views Entity Relationship Modeling Using the Business Builder and Analytical Model.
Module 5: Data Transformation and Processing Data transformation techniques (joins, unions, filters) Creating views and logical data models Working with calculated fields and expressions Data enrichment and semantic modeling.
Module 6: Business Layer and Semantic Modeling Business layer vs physical layer
Creating business entities, measures, and attributes Managing metadata and lineage
Semantic modeling for self-service analytics.
Module 7: Security and Access Management User roles and authorization Space-level and object-level security Data masking and privacy control Audit and compliance considerations.
Module 8: Reporting and Visualization Integration Integrating with SAP Analytics Cloud (SAC) Building dashboards and stories Using Data sphere models in reporting tools (Excel, Power BI) Real-time vs scheduled data access.
Module 9: Performance Optimization and Monitoring Monitoring data load and model performance Query performance tuning Usage statistics and logging Best practices for scalable models.
Module 10: Case Studies & Project Work End-to-end project implementation using SAP Data sphere Industry-specific use cases (Finance, Manufacturing, Retail) Real-world scenarios and solution design Final assessment and certification mock test.
Industry Projects:
Who is this program for?
How To Apply:
Mobile: 9100348679
Email: coursedivine@gmail.com
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