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What is SAP Datasphere?
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Evolution: From SAP BW → SAP Data Warehouse Cloud → SAP Datasphere
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Why Datasphere? (Need for a Business Data Fabric)
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Key Features & Capabilities
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Business Benefits
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SAP Datasphere vs SAP Data Warehouse Cloud
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SAP Datasphere vs Traditional Data Warehouse
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SAP BTP (Business Technology Platform) Foundation
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Datasphere Architecture Overview
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Core Components:
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Data Integration Layer
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Data Modeling Layer
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Governance & Catalog
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Data Fabric & Federation
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Consumption Layer
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Administration & Security
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Deployment Options (Cloud, Hybrid, Multi-Cloud)
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Supported Source Systems
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Introduction to Data Integration
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SAP Connectors (S/4HANA, BW, ECC, Ariba, SuccessFactors, Concur)
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Non-SAP & Third-Party Connectors (Snowflake, BigQuery, Databricks, Azure, AWS, etc.)
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Data Replication (Batch & Real-time)
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Streaming & Pipelines
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Virtualization vs. Replication
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Use Cases for Data Integration
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What is Data Modeling in Datasphere?
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Business Semantic Layer
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Graphical Modeling Tools
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Creating Dimensions, Facts, Analytical Models
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SQL-based Transformations
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Data Products Concept
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Best Practices in Data Modeling
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Need for Data Governance
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Centralized Data Catalog
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Metadata Management
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Data Lineage Tracking
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Role-Based Security & Policies
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Data Quality Checks
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Integration with Governance Tools (Collibra, etc.)
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Introduction to Business Data Fabric
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Hybrid & Multi-Cloud Strategy
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Federation vs. Traditional ETL
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Preserving Business Context
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Cross-System Data Combination (SAP + Non-SAP)
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Benefits of Federated Access
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Real-world Scenarios
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Data Consumption Options in Datasphere
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Integration with SAP Analytics Cloud (SAC)
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APIs, OData, JDBC/ODBC Access
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Data Sharing Across Teams
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Partner Data Sharing (Snowflake, Databricks, BigQuery)
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Use Cases: BI Dashboards, AI/ML, External Partner Sharing
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Platform Administration
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User & Role Management
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Authentication & Authorization
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Data Encryption & Masking
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Monitoring & Audit Logs
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Performance Optimization Tools
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Backup & Recovery Concepts
