Platform Architecture
Understand the platform, tenant concepts, spaces, users and how the major capabilities fit together.
SAP DATASPHERE TRAINING
SAP Datasphere Online Training
Learn how to connect, organize, model and prepare enterprise data for analytics using SAP Datasphere. Explore data integration, spaces, data modeling, semantic models, business data products and integration with SAP Analytics Cloud.
✓ Online training
✓ Data modeling concepts
✓ Project-oriented learning
Structured Learning
Step-by-step platform concepts
Data Modeling Focus
Connect data to business meaning
Free Demo Enquiry
Discuss your learning objectives
Course Overview
Learn SAP Datasphere for Enterprise Data and Analytics
Understand how business data from SAP and non-SAP sources can be integrated, modeled, governed and made available for analytical reporting and business insights.
What Is SAP Datasphere?
SAP Datasphere is a cloud-based data service designed to help organizations integrate and model data across business systems while preserving business context.
It supports data integration and modeling capabilities that help data teams prepare trusted business data for analytics and decision-making. Capabilities depend on the selected connections, tenant configuration and available services.
The platform can be used with SAP Analytics Cloud and other supported data and analytics tools to deliver business insights.
Course Highlights
- SAP Datasphere architecture and terminology
- Spaces, permissions and resource organization
- Source connections and data integration concepts
- Graphical and SQL-based data modeling
- Views, tables and data transformation concepts
- Semantic models and analytical consumption
- SAP Analytics Cloud integration concepts
- Performance, governance and troubleshooting
Core Learning Areas
Build Your SAP Datasphere Skill Set
Explore the key capabilities used to prepare connected business data for reporting and enterprise analytics.
Data Integration
Explore connections, data access, replication and federation concepts for supported source systems.
Data Modeling
Learn tables, views, relationships, joins, associations and reusable data models.
SQL and Transformations
Explore SQL-based modeling, calculations, filters, aggregations and transformation logic.
Semantic Modeling
Organize measures, dimensions, business entities and analytical definitions for consumers.
Analytics Integration
Understand how modeled data can be consumed in SAP Analytics Cloud and supported analytical tools.
Detailed Curriculum
SAP Datasphere Course Syllabus
A structured curriculum covering platform fundamentals, integration, modeling, security, analytics and practical scenarios. Hands-on activities depend on access to an appropriate SAP Datasphere tenant.
Module 1: Introduction to SAP Datasphere
- Introduction to SAP Datasphere and its purpose
- Enterprise data management and analytics concepts
- Business data fabric concepts and business context
- Overview of SAP data and analytics solutions
- Common use cases and business scenarios
- Introduction to the SAP Datasphere interface
Module 2: Architecture and Platform Fundamentals
- High-level architecture and platform components
- Tenant and environment concepts
- Spaces and their role in organizing data assets
- Data integration, modeling and consumption layers
- Supported connection types and source considerations
- Understanding platform limits and dependencies
Module 3: Navigation, Spaces and Workspace Setup
- Exploring the SAP Datasphere home and navigation
- Creating and managing spaces where authorized
- Space storage and resource concepts
- Organizing tables, views and other data assets
- Space sharing and access concepts
- Workspace planning and naming conventions
Module 4: Users, Roles and Security
- User and team administration concepts
- Roles, privileges and permissions
- Space-level access and data access controls
- Least-privilege access principles
- Sharing data assets securely
- Security troubleshooting and governance practices
Module 5: Connections and Source-System Integration
- Introduction to connection management
- Connecting to supported SAP source systems
- Supported non-SAP sources and external data
- Connection properties and authentication concepts
- Network connectivity and administrator dependencies
- Connection testing and troubleshooting
Module 6: Data Integration, Replication and Federation
- Data integration architecture and approaches
- Replication versus federation concepts
- Importing or accessing data from supported sources
- Data loading and refresh concepts
- Initial load and incremental update concepts
- Monitoring data integration activities
- Choosing an approach based on source and use case
Module 7: Data Builder and Data Objects
- Introduction to the Data Builder environment
- Working with tables and views
- Data sources and reusable data objects
- Creating and organizing data assets
- Understanding object dependencies
- Deploying and maintaining modeled objects
Module 8: Graphical Data Modeling
- Graphical modeling concepts and workflow
- Creating views from available data sources
- Joins, unions, filters and projections
- Associations and relationships between data objects
- Calculated columns and derived values
- Aggregation and grouping concepts
- Validating model output and dependencies
Module 9: SQL-Based Modeling and Transformations
- SQL concepts relevant to data modeling
- Writing SQL queries and creating SQL views
- Joins, filters, grouping and aggregate functions
- Case expressions and calculated fields
- Data type handling and conversion
- Reusable transformation logic
- Query validation and troubleshooting
Module 10: Business Semantics and Semantic Models
- Purpose of semantic modeling
- Measures, dimensions and attributes
- Business entities and analytical definitions
- Defining calculations and aggregations
- Associations and analytical relationships
- Exposing models for supported consumption scenarios
- Maintaining consistent business definitions
Module 11: Analytical Models and Business Consumption
- Introduction to analytical consumption
- Analytical model concepts and use cases
- Dimensions, measures and calculated indicators
- Filters, aggregation and business reporting requirements
- Preparing reusable data for business users
- Validating results against source information
Module 12: SAP Analytics Cloud Integration
- Overview of SAP Analytics Cloud integration
- Connecting to supported Datasphere models
- Live access and supported consumption patterns
- Creating stories and visualizations in the analytics layer
- Measures, dimensions, filters and calculations
- Data validation between the model and report
- Understanding connection and permission requirements
Module 13: Data Governance, Lineage and Quality
- Data governance and ownership concepts
- Data quality checks and validation rules
- Metadata and documentation practices
- Understanding data lineage and dependencies
- Consistent definitions across business teams
- Access management and sensitive data considerations
Module 14: Performance and Troubleshooting
- Data model design and performance considerations
- Efficient joins and aggregation strategies
- Query execution and data-volume considerations
- Connection, permission and deployment errors
- Investigating data discrepancies
- Monitoring refreshes and integration activities
- Structured troubleshooting and issue documentation
Module 15: SAP BW and Data Warehouse Modernization Concepts
- Introduction to enterprise data warehouse modernization
- Understanding SAP BW and SAP BW/4HANA landscapes
- Assessing existing data models and reporting requirements
- Evaluating integration and modeling options
- Migration and modernization planning considerations
- Dependencies, validation and stakeholder alignment
- High-level comparison of architecture options
Module 16: Project Scenarios and Interview Preparation
- Designing a basic end-to-end data solution
- Integrating data from supported business sources
- Building reusable graphical or SQL-based models
- Preparing a semantic layer for analytical reporting
- Connecting modeled data to a reporting solution
- Validating data and troubleshooting common issues
- Project documentation and interview preparation
Hands-on note: Practical exercises depend on
access to an SAP Datasphere tenant, required roles, supported
source-system connections and any associated SAP Analytics Cloud
environment. Available features and interface labels may vary by
release and licensing.
Who Should Attend?
Who Can Benefit from SAP Datasphere Training?
This course is designed for learners interested in enterprise data integration, cloud data modeling and analytics.
Beginners and IT Professionals
Build a foundation in cloud data services, data integration and SAP analytics concepts.
SAP BW and Data Warehouse Professionals
Explore modern data modeling and data warehouse modernization concepts.
Data Engineers and SQL Developers
Apply data integration, transformations, SQL concepts and reusable modeling techniques.
BI and Analytics Professionals
Understand semantic models and preparing data for dashboards and reporting.
SAP Analytics Cloud Users
Learn how modeled enterprise data can support analytics and business reporting.
Data Architects and Consultants
Explore platform architecture, governance, integration design and project planning.
Learning Journey
How to Get Started
Discuss your background and training objectives with our team.
Register
Submit your details and tell us about your SAP and data learning goals.
Attend a Demo
Discuss the course syllabus, platform concepts and practical requirements.
Plan Your Training
Confirm your schedule, training format, fee and access requirements.
Start Learning
Work through the agreed curriculum and relevant data modeling scenarios.
Frequently Asked Questions
SAP Datasphere Training FAQs
Common questions about the course and learning path.
What is SAP Datasphere?
SAP Datasphere is a cloud-based data service that supports data integration, modeling and business-oriented data access for enterprise analytics.
What topics are covered in this course?
Topics include architecture, spaces, connections, data integration, graphical modeling, SQL-based views, semantic models, analytics integration, governance and troubleshooting.
Do I need SQL knowledge?
Basic SQL knowledge is helpful, especially for SQL-based modeling exercises. The appropriate starting level can be discussed before enrollment.
Do I need prior SAP BW experience?
SAP BW experience can be useful but is not required for every learning path. Basic database, data warehouse or analytics knowledge can also help.
Will I get hands-on practice?
Practical exercises depend on the agreed training plan and availability of an SAP Datasphere tenant with the necessary permissions and source-system connections. Confirm the practice environment before enrolling.
Is SAP Analytics Cloud included?
The syllabus covers Datasphere integration concepts with SAP Analytics Cloud. Actual hands-on reporting exercises depend on the availability of the relevant environment and access.
What are the course duration and fee?
Duration, schedule and fee depend on the selected syllabus and training format. Contact ERPClasses.com for current details.
Does this course provide official SAP certification?
This is an independent training course. Course completion does not automatically grant an official SAP certification. Refer to SAP's official certification resources for current requirements.
How can I register for a free demo?
Submit the enquiry form on this page or contact info@erpclasses.com by email or WhatsApp to ask about demo availability and course guidance.
START YOUR LEARNING JOURNEY
Register for SAP Datasphere Training
Interested in SAP Datasphere and enterprise data analytics? Contact ERPClasses.com to discuss a free demo, course syllabus, available schedules and training options.
- Discuss your SAP and data learning goals
- Get syllabus and course guidance
- Ask about schedules and training fees
- Clarify hands-on access and prerequisites
Email:
info@erpclasses.com
WhatsApp:
+91 89196 54290
Course Enquiry Form
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Ready to Learn SAP Datasphere?
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