Course Overview
About Course
SAP HANA is an in‑memory, column‑oriented, relational database and application platform enabling real-time analytics and transactional workloads in a single engine—a true HTAP system. It runs on multi-core hardware with scale-up/out designs, uses MVCC for concurrency and supports advanced analytics like spatial, graph, text, predictive, and machine learning functionality
Over 40 hours, participants build expertise across architecture, modeling, SQLScript, app development, performance tuning, analytics, administration, cloud, and integration. Early modules deconstruct the HANA architecture, exposing learners to SAP HANA Studio, Web IDE, and Cockpit capabilities. Data modeling modules teach creation of attribute, analytic, and calculation views, while provisioning labs show real-time ingestion via SLT, SDA/SDI, and flat‑file ETL.
Development modules emphasize advanced SQL, stored procedures, and JavaScript/Node.js mini-apps using XS Advanced, including OData service implementation for frontend applications. Performance sessions utilize tracing, indexing, and storage optimizations to ensure fast analytics.
Learners also explore predictive analytics, spatial, graph, and text processing engines, and integrate R scripts, extending HANA’s analytical reach. Administration picks up with user and role management, backups, replication, security, encryption, HA/DR strategies, and differences between on‑prem and cloud MTCs.
Integration labs cover BW/4HANA, CDS views, ADBC, and S/4HANA, situating HANA within the SAP ecosystem. Monitoring sessions utilize Cockpit and SQL trace tools.
The training culminates in a capstone project: modeling data, provisioning it, building an OData service-backed web app, and presenting it. Paired with certification prep—aligned to SAP Certified Associate – SAP HANA—and backed by labs, mock exams, and career coaching, graduates emerge ready for roles like SAP HANA Consultant, Developer, or Data Architect.
Course Syllabus
- Module 1: Introduction & Architecture (3 hrs)
- Overview of in-memory, columnar HANA DB, HTAP functionality
- Architecture: MPP, scale-up/out, persistence layer, MVCC
- Module 2: HANA Tools & User Interface (3 hrs)
- SAP HANA Studio, Web IDE, Cockpit, security perspectives
- Module 3: Data Modeling & Provisioning (5 hrs)
- Attribute, Analytic, and Calculation Views (GUI and Scripted)
- Smart Data Access/Integration (SDA/SDI), SLT, flat file/data services loading
- Module 4: SQL & SQLScript Development (4 hrs)
- Open SQL, advanced SQL, procedures, functions, CE functions, table functions
- Module 5: Performance & Optimization (4 hrs)
- Query execution plans, indexing, column vs row store, partitioning, tracing (ST05)
- Module 6: Application Development (5 hrs)
- XS Advanced/JavaScript/Node.js apps, OData services, HTML5/Fiori apps & lifecycle management
- Module 7: Advanced Analytics & Predictive (4 hrs)
- Predictive Analysis Library, graph, spatial, text processing, R integration
- Module 8: Security, Administration & HA/DR (4 hrs)
- Users/roles, authentication, encryption, backups, replication, scale-out strategies
- Module 9: HANA Cloud & Multi-Tenant (3 hrs)
- Differences between on-premise and cloud; multitenant containers
- Module 10: Integration with BW & SAP Apps (3 hrs)
- HANA Live, BW/4HANA, S/4HANA on HANA, CDS, ADBC usage
- Module 11: Monitoring & Troubleshooting (3 hrs)
- Cockpit KPIs, traces, system health, SQL plan cache
- Module 12: Capstone Project & Certification Prep (2 hrs)
- Build end-to-end application: model, provision, analytical service
- Certification road map (e.g. SAP Certified Associate - SAP HANA)
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Key Features
- Hands‑on labs: Live SAP HANA sandbox for modeling, SQLScript, app deployment
- Real-time provisioning: Via SLT, SDA, flat files; reflective of enterprise flows
- Performance tuning workshops: Tracing, indexing, store-type analysis
- Enterprise app dev: Build Node.js/OData services and HTML5 apps on XS Advanced
- Advanced analytics: Engage machine learning, text, graph, spatial analytics
- Admin mastery: User roles, replication, HA/DR, cloud container setups
- Integration exercises: Connect HANA to BW, S/4, use CDS & ADBC
- Capstone: Deploy a full-stack data app from model to UI
- Certification & Career Readiness: Mock exams, resume prep, job interview support



