SAP Datasphere Training 2025 | End-to-End Workshop + Architecture, Data Modeling, SAC Reporting

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🎓 Join Training on SAP Datasphere, SAC Reporting & Planning, and HANA Cloud Development & Administration

About This Workshop:
This detailed SAP Datasphere Workshop by Mentors Pool walks you through everything you need to know from SAP Cloud Data Architecture to hands-on Q&A. Perfect for data engineers, SAP BI professionals, and enterprise architects looking to master SAP’s cloud-based data platform.

Workshop Agenda:

1️⃣ SAP Cloud Data Architecture Overview
2️⃣ What is SAP Datasphere?
3️⃣ Datasphere Architecture Explained
4️⃣ System Walkthrough (Live Demo)
5️⃣ Datasphere Training Details
6️⃣ 30-Minute Expert Q&A

Comprehensive SAP Datasphere Course Topics Include:

✅ Introduction to SAP BTP & Cloud Applications
✅ Datasphere Tenants, Roles, Spaces, and User Admin
✅ Data Integration: SAP, S/4HANA, BW, GCP, AWS, OData
✅ Data Acquisition & Federation Techniques
✅ Data Flows, Replication Flows, Task Chains
✅ Data Builder & Business Builder Modeling
✅ SQL, SQLScript, and Python Script Operators
✅ Authorization Scenarios, DACs, Role Security
✅ Integration with SAC, Power BI, Tableau, Excel
✅ SAP Business Content Activation & Management
✅ Performance Optimization, AI in Datasphere, Best Practices
✅ End-to-End Labs, Project Outlook & Implementation Challenges

TimeStamp for SAP DataSphere

00:00 - Introduction & SAP Analytics Background
00:37 - SAP Datasphere & SAC: Focus Areas
01:10 - Overview of SAP BTP Data & Analytics Pillar
02:23 - Evolution from BW & Data Intelligence to Datasphere
03:30 - Migration Paths: BW to Datasphere
04:08 - SAP HANA Cloud at the Core
05:16 - What is SAP Datasphere?
06:22 - Browser-Based Cloud Data Warehousing
07:28 - IT vs Business Roles in Datasphere
08:00 - Datasphere Architecture Overview
09:14 - Data Integration: Replication vs Virtual Access
10:29 - Key Services: Governance, Security, Modeling
12:07 - Business Modeling & AI Features in Datasphere
13:52 - Using Python & AI Core in Datasphere
15:06 - Datasphere Federation Layer Explained
16:56 - Seamless Planning with SAC Integration
18:31 - Key Capabilities: Self-Service & Data Democratization
20:09 - Data Cataloging & Decision Simplification
21:18 - End-to-End Data Warehousing for All Roles
23:07 - BW Bridge for Hybrid Integration
26:03 - BW Bridge vs BW Connections
27:54 - BW Migration Clarification
29:07 - Introduction to Spaces in Datasphere
33:20 - Datasphere UI & Navigation Overview
34:25 - Space Prioritization & User Access
36:41 - Connection Setup & Database Access
37:56 - Data Builder: Creating Tables & Views
40:25 - SQL Views Made Easy with Generative AI
42:12 - Entity Relationships & ER Diagrams
43:23 - Creating & Using Analytic Models
44:33 - Data Flows & Data Pipelines Explained
47:12 - Connecting to External Data via OData
50:03 - Deploying & Monitoring Data Flows
51:11 - Replication Flows: Table Copy Across Systems
53:39 - Replication Flow vs Data Flow
56:46 - Handling Large Tables in Datasphere
58:00 - Intelligent Lookup & Task Chains
59:40 - Business Builder: Dimensions, Facts, Consumption Models
01:00:46 - Authorization Scenarios for Secure Access
01:01:54 - Data Marketplace & Publishing APIs
01:03:38 - Lineage Analysis & System Traceability
01:06:38 - Snapshot Concept for Remote Tables
01:07:52 - Currency & Unit Conversion for Non-SAP Systems
01:09:04 - Calculation Views vs Datasphere Views
01:12:52 - Why Enterprises Use Datasphere with HANA
01:15:12 - Datasphere Cost Model: Pay-as-You-Go
01:16:22 - Shared Spaces in Data & Business Builder

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