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SAP Datasphere Modeling Training

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The SAP Datasphere Modeling Training by Multisoft Virtual Academy is designed to build strong expertise in enterprise-grade data modeling and analytics. Gain practical skills in semantic modeling, data integration, business layers and performance optimization. This training prepares you to design flexible, future-ready data models that support advanced analytics and intelligent business decisions.

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Instructor-led Training Live Online Classes

Suitable batches for you

17 Jan 2026 30 06:00 PM - 10:00 PM Sat, Sun
18 Jan 2026 30 06:00 PM - 10:00 PM Sat, Sun
24 Jan 2026 30 06:00 PM - 10:00 PM Sat, Sun
25 Jan 2026 30 06:00 PM - 10:00 PM Sat, Sun

Course Price At

$ 650

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Instructor-led Training Live Online Classes

17 Jan 2026 30 06:00 PM - 10:00 PM Sat, Sun
18 Jan 2026 30 06:00 PM - 10:00 PM Sat, Sun
24 Jan 2026 30 06:00 PM - 10:00 PM Sat, Sun
25 Jan 2026 30 06:00 PM - 10:00 PM Sat, Sun

Course Price At

$ 650

Enroll Now
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Online Self Learning Courses are designed for self-directed training, allowing participants to begin at their convenience with structured training and review exercises to reinforce learning. You’ll learn through videos, PPTs and complete assignments, projects and other activities designed to enhance learning outcomes, all at times that are most convenient to you.

Course Price At

$ 650

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Instructor-Led Online Training Parameters

Course Highlights

  • Duration: 30 Hrs.
  • Subject Matter Expert
  • After Training Support
  • Lifetime E-Learning Access
  • Recorded Sessions
  • Free Online Assessments
SAP Datasphere Modeling Training Course Syllabus

Curriculum Designed by Experts

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The SAP Datasphere Modeling Training by Multisoft Virtual Academy is designed to help professionals understand and implement modern data modeling practices using SAP’s next-generation data management and analytics platform. This training focuses on building robust, scalable and business-ready data models that support real-time analytics and intelligent decision-making across the enterprise. Participants learn how SAP Datasphere enables seamless data integration from SAP and non-SAP sources while preserving business context. The course covers core concepts such as graphical and SQL-based modeling, semantic layers, analytical datasets, business entities and data access controls. Learners gain hands-on experience in designing models that support reporting, dashboards and advanced analytics without data redundancy. The training also explains how Datasphere differs from traditional SAP BW systems and how it supports decentralized data ownership, flexible architectures and cloud-native analytics. Emphasis is placed on best practices for performance optimization, data governance and secure data sharing across teams.

By the end of this program, learners will be able to confidently design and manage data models that align IT and business requirements. This training is ideal for data analysts, SAP consultants, BI professionals and architects looking to build future-ready analytics solutions using SAP Datasphere.

SAP Datasphere Modeling Training is a professional program that teaches how to design, manage, and optimize semantic data models using SAP Datasphere. The training focuses on integrating data from multiple SAP and non-SAP sources while preserving business context and governance. Learners gain hands-on experience with spaces, graphical and SQL views, analytical models, data flows, security, and performance optimization to deliver trusted, scalable analytics for modern cloud-based enterprises.

  • Overview of SAP Datasphere and its role in modern analytics
  • Evolution from SAP Data Warehouse Cloud to SAP Datasphere
  • Key concepts: Business Data Fabric, semantics, and governance
  • SAP Datasphere architecture and components
  • Use cases and business benefits
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  • SAP Datasphere tenant overview
  • User interface and key tools
  • Working with spaces and tenants
  • Connections and system landscape
  • Monitoring and administration basics
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  • Understanding spaces and their purpose
  • Creating and managing spaces
  • Space-level data isolation and governance
  • Assigning users, roles, and privileges
  • Best practices for space design
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  • Connecting SAP and non-SAP data sources
  • Import vs live data connections
  • Data replication and remote tables
  • Data access and source system management
  • Introduction to data provisioning strategies
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  • Modeling concepts in SAP Datasphere
  • Fact and dimension modeling approach
  • Star schema and analytical modeling basics
  • Business context preservation
  • Reusable modeling strategies
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  • Creating graphical views
  • Joins, unions, and projections
  • Calculated columns and transformations
  • Filters and aggregations
  • Best practices for graphical modeling
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  • Introduction to SQL-based modeling
  • Creating SQL views in SAP Datasphere
  • Writing optimized SQL queries
  • Using parameters and variables
  • Comparing graphical views vs SQL views
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  • Defining business semantics
  • Measures, attributes, and hierarchies
  • Time-dependent data handling
  • Currency and unit conversions
  • Semantic consistency across models
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  • Creating analytical datasets
  • Building analytical models for reporting
  • Enabling models for analytics consumption
  • Performance considerations for analytical models
  • Model reuse across analytics tools
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  • Introduction to data flows
  • Designing ETL/ELT logic
  • Transformations and data cleansing
  • Scheduling and monitoring data flows
  • Error handling and data quality basics
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  • Role-based access control
  • Object-level and space-level security
  • Analytical privileges and data access control
  • Managing users and permissions
  • Best practices for secure modeling
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  • Modeling for high performance
  • Data volume and partitioning strategies
  • Optimization techniques for views and models
  • Monitoring performance issues
  • Governance and lifecycle management
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  • Connecting SAP Datasphere to SAC
  • Live vs import connection scenarios
  • Consuming models in SAC stories
  • Best practices for end-user analytics
  • End-to-end analytics flow
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SAP Datasphere Modeling Training Description

  • Understand the core concepts and architecture of SAP Datasphere for enterprise data modeling
  • Learn to create and manage spaces for structured, governed data models
  • Design graphical and SQL-based views for efficient data transformation and consumption
  • Build semantic and analytical models aligned with business requirements
  • Integrate SAP and non-SAP data sources while preserving business context
  • Implement data flows for reliable data preparation and transformation
  • Apply best practices for performance optimization in cloud-based models
  • Manage data security, roles, and authorizations effectively
  • Enable seamless analytics integration with SAP Analytics Cloud
  • Develop reusable, scalable models to support enterprise reporting and decision-making

  • Data Modelers
  • SAP BI / Analytics Consultants
  • SAP Datasphere Consultants
  • SAP BW / BW on HANA Professionals
  • Data Analysts and Analytics Engineers
  • Data Architects
  • SAP Analytics Cloud (SAC) Consultants
  • Business Intelligence Developers
  • SAP S/4HANA Technical and Functional Consultants
  • IT and Data Management Professionals

  • Basic understanding of data modeling concepts
  • Fundamental knowledge of databases and SQL
  • Familiarity with SAP BW or SAP HANA is beneficial

SAP Datasphere Modeling Training Certification

Multisoft Virtual Academy provides a globally recognized training certificate to the participants, after successful completion of a training program. The training certificates are recognized and accepted across the world.

Multisoft Virtual Academy's training certificate comes with lifetime validity.

Aspirants can directly enroll for the desired course from the Book Now Button in the course page. You can also connect on Whatsapp at +91 8130666206 to talk with a training advisor. Multisoft Virtual Academy also offers customized training programs on a wide range of domains and skills.

All training programs offered by Multisoft Virtual Academy are delivered by certified industry experts, who have years of experience in the relevant domains. Multisoft Global Subject Matter Experts impart knowledge on a wide variety of training courses through one –on-one and corporate training sessions.

Multisoft Virtual Academy training certification can help participants stand out in the competitive job market. Since the training certificates are internationally accepted, participants can showcase their skills and knowledge to employers across the world.

SAP Datasphere Modeling Corporate Training Certification

Interactive Virtual Training

Interactive Virtual Training

  • Global Subject Matter Experts
  • Step-by –Step Learning Approach
  • Instant Doubt Clearing
Lifetime Access

Lifetime Access

  • Lifetime E-learning Access
  • Recorded Training Session Videos
  • Free Access to Practice Tests
24x7 Assistance

24x7 Assistance

  • Help Desk Support
  • Doubt Resolution in Real-time
  • After Training Support
Hands on Experience

Hands on Experience

  • Project Based Learning
  • Learning based on real-life examples
  • Assignments and Practice Tests
Globally Recognized Training Certificate

Globally Recognized Certificate

  • Multisoft Training Certificate
  • Globally Recognized and Accepted
  • Lifetime Validity

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SAP Datasphere Modeling Training FAQ's

You will learn semantic modeling, graphical and SQL views, data flows, security, and performance optimization using SAP Datasphere.

Yes, the course includes practical labs and real-world use cases to reinforce learning.

SAP Datasphere provides seamless live and import connectivity with SAP Analytics Cloud for real-time and governed analytics.

It prepares you for modern data modeling roles and enhances career opportunities in SAP analytics and cloud data management.

To contact Multisoft Virtual Academy you can mail us on enquiry@multisoftvirtualacademy.com or can call for course enquiry on this number  +91 8130666206

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