DSP01: Introduction to SAP Datasphere
Connect data sources, create spaces, model governed data products, expose analytical assets, and monitor SAP Datasphere workloads through four SAP-focused lessons with exercises, validation, troubleshooting, and operational handover.
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-by SkillDynamo
- 0 Students
- Last updated
Course Description
DSP01: Introduction to SAP Datasphere develops the practical capability to connect data sources, create spaces, model governed data products, expose analytical assets, and monitor SAP Datasphere workloads. The course connects SAP concepts with controlled execution, evidence-based decisions, and responsibilities that can be reviewed after implementation.
Applied work follows an analytics team building a governed semantic layer that combines SAP and non-SAP data without losing business meaning or ownership. Learners create Datasphere architecture and space design workbook, Datasphere modeling and transformation evidence pack, semantic model and consumption register, Datasphere security and operations plan. Scenario testing addresses realistic conditions including a connection is technically valid but exposes tables to an unintended development space; a join produces duplicated measures because the relationship cardinality is incorrect; a business measure is aggregated differently across two consuming reports; a scheduled task repeatedly fails after a source schema change.
By completion, participants can apply the relevant SAP processes and configuration, explain observed results, correct supported exceptions, and hand over monitored controls that sustain governed SAP Datasphere analytics.
What You Will Learn
- Explain Datasphere architecture and connect it to dependable governed SAP Datasphere analytics decisions.
- Configure space management for controlled governed SAP Datasphere analytics across approved business scenarios.
- Execute Data Builder objects while preserving reviewable statuses, approvals, and evidence.
- Validate graphical views against process, integration, access, and data expectations.
- Diagnose Business Builder when SAP behavior diverges from the approved operating design.
- Resolve semantic entities exceptions through correction, retesting, and documented ownership.
- Interpret space permissions results to prioritize risks and practical improvement actions.
- Prepare task monitoring handover records with monitoring triggers and accountable follow-up.
SkillDynamo Training Approach
Training combines course-specific demonstrations, hands-on SAP exercises, scenario analysis, validation checkpoints, troubleshooting discussions, and a final operational improvement plan for DSP01: Introduction to SAP Datasphere.
Curriculum
- 1 Section
- 4 Lessons
- 24 Hours
- DSP01: Introduction to SAP Datasphere Curriculum4 Items
- 1.1DSP01: Introduction to SAP Datasphere — Lesson 1: SAP Datasphere Architecture, Spaces, Connections, and Governance6 hours
- 1.2DSP01: Introduction to SAP Datasphere — Lesson 2: Data Builder, Graphical Views, SQL Views, and Data Flows6 hours
- 1.3DSP01: Introduction to SAP Datasphere — Lesson 3: Business Builder, Semantic Models, Analytic Models, and Consumption6 hours
- 1.4DSP01: Introduction to SAP Datasphere — Lesson 4: Security, Monitoring, Performance, and Operational Handover6 hours
SkillDynamo Expert Team
Instructor-led delivery tailored to DSP01: Introduction to SAP Datasphere, with SAP-specific demonstrations, guided practice, scenario testing, validation checklists, troubleshooting guidance, and structured operational handover.
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