SAP HANA® – 360° Introduction – HA100 — Lesson 2: Data Provisioning, Modeling, Calculation Views, SQL, Analytics, and Application Development

Learning Objectives

• Explain the SAP structures, data, settings, roles, and dependencies governing HANA data and modeling capabilities.
• Perform and validate calculation views, SQL, and analytics using reviewable system evidence.
• Evaluate the condition where a proposed HANA design meets performance expectations but overlooks persistence, availability, security, sizing, and operational ownership and select proportionate corrective action.

Detailed Topics

• Data Provisioning applied to the course scenario, expected SAP behavior, dependencies, and evidence.
• Modeling applied to the course scenario, expected SAP behavior, dependencies, and evidence.
• Calculation Views applied to the course scenario, expected SAP behavior, dependencies, and evidence.
• SQL applied to the course scenario, expected SAP behavior, dependencies, and evidence.
• Analytics applied to the course scenario, expected SAP behavior, dependencies, and evidence.
• and Application Development applied to the course scenario, expected SAP behavior, dependencies, and evidence.

Instructor Demonstration

The instructor traces a technology team evaluating how SAP HANA supports transactional, analytical, data-integration, and application workloads across enterprise landscapes. The walkthrough connects navigation, configuration or process logic, system messages, and evidence captured in the HA100 architecture, capability, deployment, and governance assessment. It also tests the exception where a proposed HANA design meets performance expectations but overlooks persistence, availability, security, sizing, and operational ownership.

Hands-On Exercise

Complete a controlled SAP exercise covering Data Provisioning, Modeling, Calculation Views, SQL, Analytics, and Application Development and preserve the verified result in the HA100 architecture, capability, deployment, and governance assessment.

1. Confirm scope, prerequisites, master data, roles, dependencies, and acceptance criteria.
2. Execute the workflow while recording settings, transactions, outputs, and system messages.
3. Test normal behavior, one boundary condition, and the stated exception.
4. Document corrections, evidence, ownership, retest criteria, and handover actions.

Scenario Analysis

• Identify which object, rule, setting, or process step most strongly influences HANA data and modeling capabilities.
• Compare two defensible responses and explain business, technical, control, and support trade-offs.
• Determine how the HA100 architecture, capability, deployment, and governance assessment should be approved, retained, retested, and updated.

Troubleshooting Guidance

Start where expected SAP behavior first differs from the observed result. Check master data, configuration sequence, authorization, integration, status, and transaction evidence separately. Treat “a proposed HANA design meets performance expectations but overlooks persistence, availability, security, sizing, and operational ownership” as a hypothesis until system settings, logs, documents, and outcomes confirm the cause.

Validation Checklist

• Required SAP structures, master data, roles, settings, and dependencies are present.
• The HA100 architecture, capability, deployment, and governance assessment connects each conclusion to objective, reviewable evidence.
• Normal processing, the boundary condition, integration behavior, and exception were tested.
• Corrections, ownership, retest criteria, documentation, and operational handover are complete.

Lesson Outcome

Learners can apply Data Provisioning, Modeling, Calculation Views, SQL, Analytics, and Application Development, explain the resulting SAP behavior, and defend the outcome through the HA100 architecture, capability, deployment, and governance assessment.