SAP Data Warehouse Cloud Training Content
Elevate your data warehousing expertise with our SAP DWC Cloud Training, a full-scale course ideal for data engineers, architects, and BI professionals. This training covers core topics such as data modeling, spaces, semantic layers, data replication, integration with SAP and non-SAP sources, security, monitoring, and analytics consumption.
Known as the best SAP DWC Cloud Training, our curriculum blends case studies, hands-on labs, and expert-led mentoring to ground your learning in practice. Participants also receive guided preparation for the SAP DWC Cloud Certification Training, validating their skills in SAP’s cloud data warehouse platform.
After completing this program, you’ll be able to design, deploy, and manage scalable DWC solutions, optimize performance, and drive advanced analytics for business impact. Enroll now to get certified and transform your data career.
We provide the latest version system access with excellent speed and 24×7 support, ensuring a seamless learning experience. Classes are delivered online via GoToMeeting and WebEx, making it easy to learn from anywhere. Our SAP DWC Cloud Training is trusted by thousands of learners across the USA, UK, Singapore, India, South Africa, Australia, New Zealand, and Dubai. We also troubleshoot issues in real time and address queries during and after the training sessions.
After completing the course, we support you in clearing interviews and guide you to achieve SAP DWC Cloud Certification for better career opportunities. We ensure 100% satisfaction with our training approach, offering the best quality real-time online training that prepares you for both practical project scenarios and professional growth. Our commitment goes beyond course completion, providing you with the confidence and expertise to succeed in the SAP domain.
Module 1: Introduction to SAP (DWC)
Topic 1: SAP Data Warehouse Cloud
Topic 2: The Data Layer
Topic 3: The Semantic Layer
Topic 4: The Business Catalogue
Topic 5: Organize your Data with Spaces
Topic 6: Combine Data from Different Sources
Topic 7: Explain landscape architecture-relevant terms
Topic 8: Explain SAP Leonardo
Module 2: Infrastructure and Database Services in Platform-as-a-Service
Topic 1: Introduction to Platform-as-a-Service
Topic 2: Performing a Deep Dive into PaaS
Topic 3: Explore the PaaS infrastructure
Topic 4: Data and Storage in PaaS
Topic 5: Development and IT Operations Services
Topic 6: Explore the internet of things (IoT)
Topic 7: Explain Mobile Services
Topic 8: Use Runtime and Containers
Module 3: Data Warehousing Services
Topic 1: Data Transformation and Harmonization
Topic 2: Data transformation modelling across all sources
Topic 3: ELT / ETL Process Support
Topic 4: Scheduling functionality
Topic 5: Process Monitoring
Topic 6: Data Auditing Functionalities
Topic 7: Governed data changes
Topic 8: Slowly changing dimensions
Topic 9: Inventory management
Module 4: SAP HANA
Topic 1: SAP HANA and VORA
Topic 2: SAP Digital Boardroom
Topic 3: SAP Net Weaver
Topic 4: Success Factors
Module 5: Security Services
Topic 1: Data Anonymization
Topic 2: Protect Personal or Sensitive Information
Topic 3: Structured Approach to Modifying Data for Privacy Protection while Keeping the Data
Topic 4: Sufficient for meaningful Analysis
Topic 5: Leverage SAP HANA Cloud k-Anonymity and differential Privacy Features
Topic 6: Data Masking
Topic 7: Row-level Security
Module 6: Consumption
Topic 1: Built-In SAP Analytics Cloud Integration
Topic 2: SAP Analytics Cloud Story Builder and Data Explorer
Topic 3: SQL Interface
Module 7: Project Implementation -1
Topic 1: Daily Sales Reporting Data Warehousing Project- Corporate Food Store company, which is one of the companies that sell a different amount of products every day.
Module 8: Project Implementation -2
Topic 1: End-to-end lifecycle management of customer data- The End-of-Purpose (EoP) test for business data has a sturdy command of SAP Information Lifecycle Management (ILM).
