Description

Course Description:

The SAP Datasphere course provides comprehensive training on SAP’s next-generation data management solution, designed to enable businesses to unify, manage, and access data from multiple sources in real time. Participants will learn how to model, integrate, and analyze data seamlessly across cloud and on-premise environments. The course covers data warehousing concepts, data modeling, data integration, advanced analytics, and the use of SAP Datasphere tools for reporting and decision-making. By the end of the program, learners will be equipped to design scalable, enterprise-grade data solutions that drive business intelligence and informed decision-making.

Key Features of Course Divine:

• Collaboration with E‑Cell IIT Tirupati
• 1:1 Online Mentorship Platform
• Credit-Based Certification
• Live Classes Led by Industry Experts
• Live, Real-World Projects
• 100% Placement Support
• Potential Interview Training
• Resume-Building Activities

Career Opportunities After SAP Datasphere (formerly Data Warehouse Cloud) Certified Course:

• SAP Datasphere Consultant
• Data Warehouse Architect
• Business Intelligence (BI) Developer
• Data Integration Specialist
• Data Analyst
• SAP Analytics Consultant
• ETL Developer
• Cloud Data Engineer
• SAP Solution Architect
• Project Manager (Data & Analytics Projects)

Essential Skills you will Develop SAP Datasphere (formerly Data Warehouse Cloud) Certified Course:

• Data Modeling
• Data Integration
• ETL Processes
• Data Warehousing Concepts
• Advanced Analytics
• SQL & Querying
• Data Governance
• Business Intelligence
• Problem Solving
• Cloud Data Management

Tools Covered:

• SAP Datasphere
• SAP Analytics Cloud (SAC)
• SAP Data Intelligence
• SAP HANA Cloud
• SQL & SAP HANA SQL Script
• Data Flow Designer
• Data Marketplace
• Business Builder & Data Builder
• Connectivity
• Versioning & Collaboration

Syllabus:

Module 1: Introduction to SAP Datasphere Overview of SAP Datasphere and its evolution from Data Warehouse Cloudm Cloud data management concepts Key features, benefits, and architecture.

Module 2: Data Warehousing Concepts Basics of data warehousing Modern data warehouse architecture Star schema, snowflake schema, and modeling best practices.

Module 3: SAP HANA Cloud Basics Introduction to SAP HANA Cloud  In-memory database concepts Data storage, retrieval, and real-time processing.

Module 4: Data Modeling in SAP Datasphere Creating data models and relationships Attribute and fact tables Semantic layer and calculation views.

Module 5: Data Integration and ETL Extract, Transform, Load (ETL) processes Using Data Flow Designer Connecting SAP and non-SAP data sources.

Module 6: Advanced Querying and SQL Writing SQL queries in SAP Datasphere Using SAP HANA SQL Script Optimizing queries for performance.

Module 7: Business Intelligence and Reporting Introduction to SAP Analytics Cloud (SAC) integration Creating dashboards and visualizations Data storytelling and insight generation.

Module 8: Data Governance and Security Managing data quality and compliance User roles and authorization Data protection in cloud environments.

Module 9: Data Marketplace and External Data Accessing and integrating external datasets Using Data Marketplace Data enrichment techniques.

Module 10: Real-Time Projects and Case Studies Hands-on industry projects End-to-end implementation scenarios Best practices and project deployment.

Industry Projects:

• Sales Data Integration
• Customer Analytics Dashboard
• Financial Performance Analysis
• Inventory Management Optimization
• Human Resources Analytics
• Real-Time IoT Data Analysis
• Marketing Campaign Analytics
• Supplier Performance Dashboard
• Retail Sales Forecasting
• End-to-End Enterprise Reporting

Who is this program for?

• Aspiring Data Professionals
• Business Intelligence (BI) Analysts
• Data Engineers & ETL Developers
• SAP Consultants
• Data Scientists
• IT & Cloud Professionals
• Decision Makers & Business Managers
• Students & Fresh Graduates
• Project Managers in Analytics/Data Projects
• Anyone Interested in Modern Data Management