Description
Course Description:
The SAP HANA (High-Performance Analytic Appliance) Certified Course is designed to provide in-depth knowledge and hands-on skills in one of the most advanced in-memory database technologies. This course focuses on the fundamentals and advanced concepts of SAP HANA, including data modeling, database administration, real-time analytics, and application development. Learners will gain expertise in processing massive volumes of data with high speed and accuracy, enabling organizations to make faster and smarter business decisions. With a blend of theoretical understanding and practical training, the program prepares professionals to work confidently with SAP HANA environments, optimize business operations, and unlock the full potential of real-time data analytics.
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 (HANA)High-Performance Analytic Appliance Certified Course:
- SAP HANA Consultant
- SAP HANA Database Administrator
- Data Modeler / Data Analyst
- SAP BW/4HANA Consultant
- SAP HANA Application Developer
- Business Intelligence (BI) Specialist
- Big Data & Analytics Expert
- Cloud Solutions Architect (SAP HANA on Cloud)
- SAP HANA Project Manager
- SAP HANA Performance Optimization Expert
Essential Skills you will Develop SAP (HANA)High-Performance Analytic Appliance Certified Course:
- In-Memory Database Management
- Data Modeling Skills
- SQL & SQLScript Proficiency
- Real-Time Analytics
- Data Provisioning & Integration
- Performance Optimization
- Application Development
- Security & User Management
- Cloud & Hybrid Deployment Knowledge
Tools Covered:
- SAP HANA Studio
- SAP HANA Cockpit
- SAP HANA Database Explorer
- SAP HANA XS Advanced (XSA)
- SAP Web IDE / Business Application Studio
Syllabus:
Module 1: Introduction to SAP HANA Overview of SAP HANA architecture and in-memory computing Key features and advantages of SAP HANA Understanding SAP HANA deployment options (On-premise & Cloud) Comparison with traditional databases.
Module 2: SAP HANA Architecture & Installation System architecture, persistence layer, and data storage Installation, configuration, and system landscape overview SAP HANA sizing and hardware requirements HANA database objects and schemas.
Module 3: Data Modeling in SAP HANA Introduction to data modeling concepts Creating attribute, analytic, and calculation views Joins, unions, and hierarchies in modeling Best practices in SAP HANA modeling.
Module 4: SQL and SQLScript in HANA Basics of SQL in SAP HANA Advanced SQLScript programming Stored procedures and functions Debugging and performance tuning.
Module 5: Data Provisioning & Integration SAP Landscape Transformation (SLT) for real-time replication SAP Data Services (BODS) for ETL processes Smart Data Access (SDA) and Smart Data Integration (SDI) Connecting SAP HANA with Hadoop, Spark, and external systems.
Module 6: SAP HANA Administration User and role management Backup, recovery, and system monitoring Security and authorization concepts Database administration using HANA Studio & Cockpit.
Module 7: Real-Time Analytics & Reporting SAP HANA for real-time data analytics Reporting SAP Analytics Cloud Building dashboards and predictive analytics models Integrating SAP HANA with BI platforms.
Module 8: Application Development on HANA SAP HANA XS Classic vs. XS Advanced (XSA) Building applications using SAP Web IDE / Business Application Studio Using HANA database services for application logic Deployment and lifecycle management.
Module 9: Performance Optimization Query performance tuning Indexes, partitions, and compression techniques Monitoring and troubleshooting performance issues Best practices for scalable HANA systems.
Module 10: Advanced Topics & Case Studies SAP BW/4HANA integration with SAP HANA Cloud deployment (AWS, Azure, SAP Cloud Platform) Predictive analytics and machine learning integration Industry case studies and real-time projects.
Industry Projects:
- Real-Time Sales & Revenue Dashboard
- Supply Chain Optimization Project
- Banking & Financial Risk Analysis
Who is this program for?
- IT Professionals & Database Administrators
- SAP Consultants & Developers
- Data Analysts & BI Specialists
How To Apply:
Mobile: 9100348679
Email: coursedivine@gmail.com
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