Price: AED 3,500
Duration: 40 Hours
Timing: Flexible
Course Overview
SAP HANA High Performance Analytic Appliance is an in-memory data for real-time analysis that is use in deploying data and deploying real-time applications. SAP HANA supports various use cases for real-time analytics.
Course Outline
I. Introduction to SAP HANA High Performance Analytic Appliance
A. What is SAP HANA?
1. Overview of in-memory computing
2. Evolution of SAP HANA
B. Key Features and Benefits of SAP HANA
1. In-memory data processing
2. Real-time analytics
3. Simplified data modeling
4. Advanced data processing capabilities
II. SAP HANA High Performance Analytic Appliance – Architecture
A. SAP HANA In-Memory Database
1. Columnar vs. Row-Based Storage
2. Data Compression Techniques
B. Multi-Tier Architecture
1. Row Store
2. Column Store
3. Calculation Engine
4. Persistence Layer
C. SAP HANA Appliance Components
1. Hardware Requirements
2. Software Components
D. High Availability and Disaster Recovery
III. Data Modeling in SAP HANA
A. Introduction to SAP HANA Studio
B. Creating Information Models 1. Attribute Views
2. Analytic Views
3. Calculation Views
C. Hierarchies and Filters
D. Calculation Engines and Expressions
E. Best Practices for Data Modeling
IV. Data Loading and Integration
A. Data Provisioning Methods
1. SAP Data Services
2. SAP Landscape Transformation (SLT)
3. SAP HANA Direct Extractor Connection (DXC)
B. Data Transformation and Cleansing
C. Real-Time Data Replication D. Data Quality Management
V. SAP HANA SQL and SQLScript A. SQL in SAP HANA 1. SQL Basics 2. Advanced SQL Features B. Introduction to SQLScript 1. Script-Based Calculation Engine 2. Data Processing in SQLScript C. Procedures and Functions D. Performance Optimization with SQLScript
VI. Advanced Analytics and Predictive Modeling A. Introduction to Predictive Analytics B. SAP HANA Predictive Analysis Library (PAL) C. Integrating R and Python with SAP HANA D. Building Predictive Models
VII. SAP HANA Security A. User and Role Management B. Authentication and Authorization C. Data Encryption D. Auditing and Monitoring
VIII. SAP HANA Administration and Monitoring A. SAP HANA Cockpit B. Backup and Recovery C. Performance Monitoring and Tuning D. System Landscape Configuration
IX. Integration with SAP Business Intelligence and Analytics A. SAP BW on SAP HANA B. SAP BusinessObjects Integration C. SAP Analytics Cloud with SAP HANA D. Smart Data Access
X. SAP HANA Cloud and Hybrid Deployments A. Introduction to SAP HANA Cloud B. Hybrid Deployment Scenarios C. Migration to SAP HANA Cloud
XI. SAP HANA Best Practices and Optimization A. Best Practices for Performance and Scalability B. High-Volume Data Management C. Disaster Recovery Planning
XII. Case Studies and Hands-on Exercises A. Real-world scenarios and use cases B. Hands-on exercises to apply knowledge C. Troubleshooting and problem-solving
XIII. Q&A and Knowledge Assessment A. Review of key concepts B. Open discussion and questions C. Knowledge assessment test
XIV. Conclusion and Next Steps A. Summary of key takeaways B. Further learning resources and certification options C. Feedback and evaluation
This SAP HANA High Performance Analytic Appliance training outline provides a comprehensive overview of SAP HANA, covering architecture, data modeling, data integration, advanced analytics, security, administration, and best practices. Practical exercises, case studies, and assessments are included to ensure participants gain hands-on experience and the knowledge needed to effectively work with SAP HANA for high-performance analytics and data processing