Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
1 Hour(s) 24 Minute(s)
Language
English
Taught by
Edcorner Learning
Course Overview
Learn SAP DWC (AKA Datasphere) Concepts - Building Intelligent, Cloud-Ready Data Warehouses
The SAP Data Warehouse Cloud (SAP Datasphere) course offers a comprehensive, hands-on learning experience tailored to data professionals and business users navigating enterprise analytics in the cloud era. This course begins with foundational concepts of cloud-native data warehousing and provides a clear comparison between SAP Data Warehouse Cloud (now known as SAP Datasphere) and traditional solutions like SAP BW/4HANA. Learners will explore how SAP Datasphere unifies data access, modeling, and business logic by leveraging key components such as Spaces, Connections, the Data Builder, Business Builder, and Story Builder, all within the context of the SAP Business Technology Platform (SAP BTP).
Through real-world use cases, students will understand the business benefits of adopting SAP DWC, including agility, real-time access, and federation without data duplication. The course dives into DWC’s multi-layered architecture and resource management through Spaces, explaining the roles of the data integration layer, semantic layer, and business modeling layer. Federation vs. replication strategies, security foundations, and compliance practices are also covered in depth to ensure governance and trust.
In the integration module, learners will configure connections to SAP systems (S/4HANA, BW, ECC), as well as non-SAP sources such as databases, APIs, and flat files. Best practices for real-time vs. batch ingestion and virtualization using Smart Data Access are explored. Learners build data models using both graphical and SQL views in the Data Builder, construct relationships, and define hierarchies, calculated measures, and semantic tags for business understanding and performance optimization.
The course also includes advanced modules on exposing data to SAP Analytics Cloud, predictive modeling with SAP AI Core, integration with SAP Data Intelligence, and multi-cloud deployment across AWS, Azure, and GCP.
Course Content
- 6 section(s)
- 28 lecture(s)
- Section 1 Introduction to SAP Data Warehouse Cloud
- Section 2 Architecture and Core Concepts
- Section 3 Connectivity and Data Integration
- Section 4 Data Modeling in DWC
- Section 5 Business Layer and Consumption
- Section 6 Advanced Features and Extensions
What You’ll Learn
- Understand the evolution of cloud-based data warehousing and how SAP DWC fits into modern enterprise architectures., Compare SAP Data Warehouse Cloud vs. SAP BW/4HANA and identify the right use cases for each., Master the core components of DWC, including Spaces, Connections, Data Builder, Business Builder, and Story Builder., Learn how SAP Business Technology Platform (BTP) enhances extensibility, integration, governance, and innovation., Explore real-world use cases across finance, logistics, marketing, and operations for applied analytics., Gain deep knowledge of DWC’s multi-layer architecture—data integration, semantic modeling, and business modeling layers., Understand resource allocation using Spaces and manage environments efficiently at scale., Effective data integration strategies (SAP + non-SAP), including APIs, databases, flat files, real-time feeds, and batch loads., Smart Data Access and virtualization to enable hybrid and federated analytics., Apply data ingestion best practices to maintain quality, performance, and governance., Graphical and SQL-based models in Data Builder and create business-ready models in Business Builder., Design and expose scalable models for interactive dashboards using SAP Analytics Cloud (SAC)., Machine learning capabilities through SAP AI Core for predictive and prescriptive analytics., Utilize SAP Data Intelligence for pipeline orchestration, transformation, and complex integration flows., Understand multi-cloud deployment options across AWS, Azure, and GCP for enterprise flexibility., Ensure security, privacy, and compliance across layers using RBAC, encryption, auditing, and governance., Build an extensible, future-proof analytics ecosystem using SAP DWC + SAP BTP.
