Mastering SAP HANA for Future-Proof Business Transformation
You’re under pressure. Systems are siloed, data is fragmented, and your stakeholders demand faster insights with tighter compliance. You know SAP HANA holds the key, but without a structured, battle-tested path, you risk costly delays, abandoned rollouts, or half-baked deployments that fail to deliver ROI. Every day you delay mastery is another day your organisation runs on outdated logic, slower reporting, and reactive decision-making. Worse, competitors are already leveraging real-time analytics, predictive modelling, and intelligent automation powered by HANA-leaving you playing catch-up in a time-sensitive digital race. Mastering SAP HANA for Future-Proof Business Transformation is not just a course. It’s your end-to-end blueprint to move from confusion to clarity, from cost centre to boardroom credibility. This program is engineered to take you from structuring your data model to securing stakeholder buy-in-with a fully developed, production-ready SAP HANA use case in just 30 days. Imagine walking into your next executive meeting with a live data model, performance benchmarks, security schema, and integration plan, all built yourself. That’s what Priya M., Senior Data Architect at a global logistics firm, achieved. After completing this course, she led the migration of a 12-terabyte legacy ERP system into HANA, cutting reporting latency by 92% and earning a direct commendation from her CIO. This isn’t theoretical. This is how professionals transform systems, careers, and business outcomes. The tools are proven, the methods are field-tested, and the results are repeatable-regardless of your current technical depth. Here’s how this course is structured to help you get there.Course Format & Delivery Details Immediate, Flexible Access with Zero Time Pressure
The course is self-paced, with on-demand access the moment you enroll. There are no fixed start dates, deadlines, or attendance requirements. You control your learning schedule, making progress in as little as 30 minutes a day or in full immersion blocks when time allows. Most learners complete the core curriculum in 4 to 6 weeks. However, you can begin applying critical components-such as data modelling, schema design, and performance tuning-from day one. Real results, like system optimisation and use case validation, are achievable within the first 10 days. Lifetime Access with Continuous Updates
You receive lifetime access to all course materials. This includes future updates, extended content, and new integration techniques as SAP HANA evolves. No additional fees. No subscription traps. What you pay today covers everything-forever. The platform is 24/7 accessible worldwide and fully mobile-friendly. Whether you're working from a tablet on-site, a laptop during downtime, or a phone reviewing key concepts, your progress syncs seamlessly across devices. Expert-Guided, Not Just Self-Led
Each module includes direct instructor notes, annotated templates, and decision frameworks used by SAP HANA architects in Fortune 500 companies. You also gain access to dedicated support channels where expert facilitators provide clarification, review key design choices, and guide troubleshooting-ensuring you never work in isolation. This is not a passive experience. You’ll receive feedback loops, implementation checklists, and real-world decision trees to reinforce confidence in every design call you make. Certification with Global Recognition
Upon successful completion, you will earn a Certificate of Completion issued by The Art of Service-an internationally respected credential trusted by IT leaders across 58 countries. This certification validates your ability to design, deploy, and manage enterprise-grade SAP HANA environments with strategic impact. Employers recognise The Art of Service credentials for their rigour, precision, and alignment with actual project delivery-not just academic knowledge. Transparent Pricing, No Hidden Costs
The course fee is straightforward with no hidden fees. What you see is exactly what you pay. No surprise charges, upsells, or recurring billing. Once purchased, you own the full learning path. We accept all major payment methods including Visa, Mastercard, and PayPal-processed securely with bank-level encryption. Your transaction is protected from start to finish. No-Risk Enrollment with Full Confidence
If this course doesn’t meet your expectations, you’re protected by our 30-day, no-questions-asked, 100% money-back guarantee. This isn’t a trial. This is a results-backed offer designed to eliminate all hesitation. After enrollment, you’ll receive a confirmation email. Your course access details will be delivered separately once your materials are prepared. This ensures a secure, verified onboarding process-without implying timing or immediacy. This Works Even If…
- You’re not an SAP expert but need to lead a HANA initiative
- Your organisation is mid-migration and you lack confidence in the architecture
- You’ve tried SAP HANA training before and found it too abstract or outdated
- You’re balancing a full-time role and need just-in-time, scannable, action-focused content
Over 2,100 professionals across data architecture, IT strategy, and business intelligence have successfully applied this program-even those starting with zero HANA exposure. The curriculum adapts to your role, your pace, and your organisational context. Whether you're a functional consultant, systems analyst, or digital transformation lead, the content is structured to ensure relevance, clarity, and immediate applicability. This course doesn’t just teach technology-it equips you to lead change with authority.
Extensive and Detailed Course Curriculum
Module 1: Foundations of SAP HANA Architecture - Understanding in-memory computing principles
- Core components of the SAP HANA platform
- Difference between row-store and column-store databases
- How SAP HANA accelerates analytical and transactional processing
- Hardware requirements and sizing guidelines
- Deployment options: on-premise, cloud, hybrid
- SAP HANA Express Edition for development and testing
- Overview of SAP HANA Studio and SAP HANA cockpit
- Understanding the multi-tenant database container architecture
- Comparing HANA with traditional RDBMS systems
- Built-in security and encryption mechanisms
- User authentication and role-based access control
- Overview of SAP HANA lifecycle management tools
- Understanding processing engines: SQL, calculation, OLAP
- Data persistence and log volume management
- Overview of SAP HANA HA and disaster recovery
- Introduction to SAP HANA system replication
- Understanding schema separation and isolation
- Naming conventions and system directory structure
- Initial system configuration and setup workflow
Module 2: Data Modelling Principles in SAP HANA - Designing semantic data models for business clarity
- Core principles of dimensional modelling
- Understanding attributes, measures, and hierarchies
- Star schema and snowflake schema in HANA
- Fact tables and dimension tables design best practices
- Time and date dimensions: implementation strategies
- Creating calculation views from scratch
- Using attribute views, analytic views, and calculation views
- Join types and their performance impact
- Union, projection, and aggregation nodes in calculation views
- Variable usage in dynamic filtering
- Input parameters for interactive models
- Using hierarchies in data models
- Modelling time dependencies and versioning
- Handling slowly changing dimensions
- Creating reusable modelling components
- Best practices for view layering and reuse
- Naming standards and documentation practices
- Error handling in data models
- Version control and transport of models
Module 3: Advanced Modelling and Performance Optimisation - Identifying and eliminating performance bottlenecks
- SQL trace and performance analysis tools
- Memory usage optimisation techniques
- Columnar storage compression algorithms
- Partitioning strategies for large tables
- Indexing best practices in HANA
- Data aging and archiving strategies
- Using filters and calculate-before-aggregation
- Optimising calculation view execution plans
- Materialized views and their trade-offs
- Push-down processing principles
- Dynamic join pruning and query optimisation
- Analytic privileges for row-level security
- Using restricted and calculated measures
- Performance comparison between SQLScript and graphical views
- Cost-based optimisation in SAP HANA
- Query plan interpretation
- Using EXPLAIN PLAN and visualisation tools
- Statistics collection and update frequency
- Modelling for parallel processing
Module 4: SQLScript Programming for HANA - Introduction to SQLScript syntax and structure
- Scalar functions and built-in operators
- Using IF, WHILE, and TRY-CATCH logic
- Table variables and variable assignment
- Creating scripted calculation views
- Using scripts for complex aggregations
- Table operators: UNNEST, LATERAL VIEW
- Dynamic SQL in SQLScript
- Error handling and debugging techniques
- Best practices for script readability and maintenance
- Using temporal functions and time travel
- String manipulation and formatting functions
- Mathematical and statistical operations in SQLScript
- Working with JSON and XML data types
- Calling stored procedures from SQLScript
- Session variables and context handling
- Modularising code with sub-procedures
- Performance pitfalls in scripted views
- Secure coding practices
- Logging and monitoring script execution
Module 5: Stored Procedures and Scripted Logic - Creating and managing SQLScript stored procedures
- Input and output parameters configuration
- Calling stored procedures from external tools
- Using procedures for data transformation
- Debugging procedures step by step
- Handling transactions and rollbacks
- Using autonomous transactions
- Calling external APIs from HANA procedures
- Integrating HTTP calls in procedural logic
- Modular design of reusable logic
- Error propagation and exception handling
- Executing DDL operations in scripts
- Dynamic table creation and manipulation
- Scheduling procedure execution via timers
- Security model for stored procedures
- Role dependencies and privilege assignment
- Testing procedures with mock data
- Performance benchmarking of logic
- Version control for procedural code
- Documentation standards for scripts
Module 6: Data Provisioning and Integration - Overview of data integration tools in HANA
- SAP Landscape Transformation (SLT) replication
- Configuring SLT for real-time data sync
- Using SAP Data Services for ETL
- File-based data loading techniques
- Direct SQL or ODBC/JDBC connections
- Using Smart Data Access (SDA)
- Federated query execution across systems
- Virtual tables and remote source setup
- Performance considerations for virtualisation
- Smart Data Integration (SDI) architecture
- Agents and adapters configuration
- Streaming data with SDI
- Change data capture (CDC) implementation
- Batch vs real-time data loading trade-offs
- Scheduling and monitoring data jobs
- Error handling and recovery in ETL
- Data quality checks and cleansing
- Metadata management across sources
- Integration with SAP S/4HANA
Module 7: Security, Authorisation, and Compliance - Role-based access control model
- Creating and assigning analytic privileges
- Row-level and cell-level security
- Managing privileges for schemas, tables, views
- Object privileges vs system privileges
- Creating custom roles and templates
- Inheritance and composition of roles
- Masking sensitive data in queries
- Audit logging and trace configuration
- Export compliance and data residency
- Encryption at rest and in transit
- TLS/SSL configuration for HANA
- User management best practices
- Password policies and expiry rules
- Single sign-on integration with SAML
- Integration with LDAP and Active Directory
- Multi-factor authentication support
- Separation of duties for IT roles
- Privilege analysis tools
- Compliance reporting templates
Module 8: Real-Time Analytics and Predictive Processing - Overview of SAP HANA Predictive Analytics Library (PAL)
- Implementing clustering algorithms (k-means, DBSCAN)
- Regression models for forecasting
- Classification with decision trees and SVM
- Time series forecasting methods
- Outlier detection techniques
- Anomaly detection in real-time data
- Integration of R and Python with HANA
- Calling external engines via AFL wrappers
- Text analysis and sentiment processing
- Topic extraction and keyword analysis
- Geospatial data processing in HANA
- Spatial joins and distance calculations
- GPS data handling and visualisation
- Streaming analytics with structured data
- Event-based processing in HANA
- Using HANA for IoT data ingestion
- Sensor data aggregation and filtering
- Real-time dashboards powered by HANA
- Alerting mechanisms based on thresholds
Module 9: Operational Reporting and Visualisation - Connecting SAP Analytics Cloud to HANA
- Building live data models for reporting
- Direct access vs imported models
- Creating interactive dashboards
- Drill-down and hierarchy navigation
- Mobile reporting best practices
- Using SAP BusinessObjects with HANA
- Designing queries for optimal performance
- Integration with Microsoft Excel via Live Connection
- Publishing models to Fiori launchpad
- Creating KPI tiles and dynamic lists
- Role-based dashboards for different users
- Setting up scheduled report distribution
- PDF and Excel export options
- Data storytelling techniques
- Colour coding and visual clarity standards
- Real-time vs batch-updated reports
- Embedding visualisations in portals
- User adoption strategies for new reports
- Feedback loops for dashboard improvement
Module 10: Migration and System Conversion Strategies - Assessing readiness for HANA migration
- Using SAP Readiness Check tool
- Identifying custom code dependencies
- Database migration using DMO (Database Migration Option)
- Homogenous vs heterogeneous system copy
- Testing migrated applications for compatibility
- Adjusting ABAP code for HANA optimisation
- Using AMDP (ABAP Managed Database Procedures)
- Data volume reduction techniques
- Index removal and code push-down
- Performance testing post-migration
- Change management for user teams
- Training end-users on new response times
- Post-go-live monitoring plan
- Support model during transition
- Handling functional gaps after migration
- Rollback planning and safety checks
- Engaging SAP support effectively
- Working with external partners
- Creating a post-migration roadmap
Module 11: Monitoring, Troubleshooting, and System Management - Using SAP HANA cockpit for system health
- Monitoring memory and CPU usage
- Tracking disk space and log volumes
- Alert configuration and notification setup
- System trace and diagnostic files
- Root cause analysis for performance issues
- Blocking sessions and lock management
- Database backup and recovery procedures
- Full, incremental, and log backups
- Scheduling and verifying backups
- Restoration testing and disaster drills
- Managing user sessions and connections
- Deadlock detection and resolution
- Garbage collection and memory cleanup
- Using performance monitor views
- Custom monitoring scripts
- Integration with SAP Solution Manager
- Automating routine administrative tasks
- System trace analysis
- Health check reports and KPIs
Module 12: Project Implementation and Business Alignment - Defining a business-driven HANA use case
- Stakeholder identification and engagement
- Building a business case with ROI metrics
- Creating a data governance framework
- Aligning data models with operational goals
- Designing for scalability and future needs
- Agile project methodology for HANA rollout
- Sprint planning and backlog management
- Demo preparation and executive presentations
- Gathering feedback from business users
- Version control using Git integration
- Transport and lifecycle management (LVC)
- Change requests and approval workflows
- Documentation for audit and compliance
- User training and change adoption
- Support handover to operations team
- KPI tracking post-implementation
- Continuous improvement cycles
- Measuring business impact and performance
- Preparing for the next phase of digitalisation
Module 13: Certification Preparation and Career Advancement - Understanding the SAP HANA certification paths
- Core vs modelling vs administration exams
- Study strategies for certification success
- Practice exercises and self-assessment
- Time management during exams
- Common pitfalls and how to avoid them
- How The Art of Service certification complements SAP’s official credentials
- Updating your LinkedIn profile with new skills
- Crafting a performance-based resume
- Positioning HANA expertise in job interviews
- Salary benchmarks for HANA professionals
- Negotiating promotions or role changes
- Building a personal brand as a data architect
- Contributing to internal knowledge sharing
- Leading cross-functional initiatives
- Mentoring junior team members
- Presenting at internal tech forums
- Preparing a board-ready transformation proposal
- Leveraging the Certificate of Completion for visibility
- Next steps: SAP S/4HANA, cloud architecture, AI integration
Module 1: Foundations of SAP HANA Architecture - Understanding in-memory computing principles
- Core components of the SAP HANA platform
- Difference between row-store and column-store databases
- How SAP HANA accelerates analytical and transactional processing
- Hardware requirements and sizing guidelines
- Deployment options: on-premise, cloud, hybrid
- SAP HANA Express Edition for development and testing
- Overview of SAP HANA Studio and SAP HANA cockpit
- Understanding the multi-tenant database container architecture
- Comparing HANA with traditional RDBMS systems
- Built-in security and encryption mechanisms
- User authentication and role-based access control
- Overview of SAP HANA lifecycle management tools
- Understanding processing engines: SQL, calculation, OLAP
- Data persistence and log volume management
- Overview of SAP HANA HA and disaster recovery
- Introduction to SAP HANA system replication
- Understanding schema separation and isolation
- Naming conventions and system directory structure
- Initial system configuration and setup workflow
Module 2: Data Modelling Principles in SAP HANA - Designing semantic data models for business clarity
- Core principles of dimensional modelling
- Understanding attributes, measures, and hierarchies
- Star schema and snowflake schema in HANA
- Fact tables and dimension tables design best practices
- Time and date dimensions: implementation strategies
- Creating calculation views from scratch
- Using attribute views, analytic views, and calculation views
- Join types and their performance impact
- Union, projection, and aggregation nodes in calculation views
- Variable usage in dynamic filtering
- Input parameters for interactive models
- Using hierarchies in data models
- Modelling time dependencies and versioning
- Handling slowly changing dimensions
- Creating reusable modelling components
- Best practices for view layering and reuse
- Naming standards and documentation practices
- Error handling in data models
- Version control and transport of models
Module 3: Advanced Modelling and Performance Optimisation - Identifying and eliminating performance bottlenecks
- SQL trace and performance analysis tools
- Memory usage optimisation techniques
- Columnar storage compression algorithms
- Partitioning strategies for large tables
- Indexing best practices in HANA
- Data aging and archiving strategies
- Using filters and calculate-before-aggregation
- Optimising calculation view execution plans
- Materialized views and their trade-offs
- Push-down processing principles
- Dynamic join pruning and query optimisation
- Analytic privileges for row-level security
- Using restricted and calculated measures
- Performance comparison between SQLScript and graphical views
- Cost-based optimisation in SAP HANA
- Query plan interpretation
- Using EXPLAIN PLAN and visualisation tools
- Statistics collection and update frequency
- Modelling for parallel processing
Module 4: SQLScript Programming for HANA - Introduction to SQLScript syntax and structure
- Scalar functions and built-in operators
- Using IF, WHILE, and TRY-CATCH logic
- Table variables and variable assignment
- Creating scripted calculation views
- Using scripts for complex aggregations
- Table operators: UNNEST, LATERAL VIEW
- Dynamic SQL in SQLScript
- Error handling and debugging techniques
- Best practices for script readability and maintenance
- Using temporal functions and time travel
- String manipulation and formatting functions
- Mathematical and statistical operations in SQLScript
- Working with JSON and XML data types
- Calling stored procedures from SQLScript
- Session variables and context handling
- Modularising code with sub-procedures
- Performance pitfalls in scripted views
- Secure coding practices
- Logging and monitoring script execution
Module 5: Stored Procedures and Scripted Logic - Creating and managing SQLScript stored procedures
- Input and output parameters configuration
- Calling stored procedures from external tools
- Using procedures for data transformation
- Debugging procedures step by step
- Handling transactions and rollbacks
- Using autonomous transactions
- Calling external APIs from HANA procedures
- Integrating HTTP calls in procedural logic
- Modular design of reusable logic
- Error propagation and exception handling
- Executing DDL operations in scripts
- Dynamic table creation and manipulation
- Scheduling procedure execution via timers
- Security model for stored procedures
- Role dependencies and privilege assignment
- Testing procedures with mock data
- Performance benchmarking of logic
- Version control for procedural code
- Documentation standards for scripts
Module 6: Data Provisioning and Integration - Overview of data integration tools in HANA
- SAP Landscape Transformation (SLT) replication
- Configuring SLT for real-time data sync
- Using SAP Data Services for ETL
- File-based data loading techniques
- Direct SQL or ODBC/JDBC connections
- Using Smart Data Access (SDA)
- Federated query execution across systems
- Virtual tables and remote source setup
- Performance considerations for virtualisation
- Smart Data Integration (SDI) architecture
- Agents and adapters configuration
- Streaming data with SDI
- Change data capture (CDC) implementation
- Batch vs real-time data loading trade-offs
- Scheduling and monitoring data jobs
- Error handling and recovery in ETL
- Data quality checks and cleansing
- Metadata management across sources
- Integration with SAP S/4HANA
Module 7: Security, Authorisation, and Compliance - Role-based access control model
- Creating and assigning analytic privileges
- Row-level and cell-level security
- Managing privileges for schemas, tables, views
- Object privileges vs system privileges
- Creating custom roles and templates
- Inheritance and composition of roles
- Masking sensitive data in queries
- Audit logging and trace configuration
- Export compliance and data residency
- Encryption at rest and in transit
- TLS/SSL configuration for HANA
- User management best practices
- Password policies and expiry rules
- Single sign-on integration with SAML
- Integration with LDAP and Active Directory
- Multi-factor authentication support
- Separation of duties for IT roles
- Privilege analysis tools
- Compliance reporting templates
Module 8: Real-Time Analytics and Predictive Processing - Overview of SAP HANA Predictive Analytics Library (PAL)
- Implementing clustering algorithms (k-means, DBSCAN)
- Regression models for forecasting
- Classification with decision trees and SVM
- Time series forecasting methods
- Outlier detection techniques
- Anomaly detection in real-time data
- Integration of R and Python with HANA
- Calling external engines via AFL wrappers
- Text analysis and sentiment processing
- Topic extraction and keyword analysis
- Geospatial data processing in HANA
- Spatial joins and distance calculations
- GPS data handling and visualisation
- Streaming analytics with structured data
- Event-based processing in HANA
- Using HANA for IoT data ingestion
- Sensor data aggregation and filtering
- Real-time dashboards powered by HANA
- Alerting mechanisms based on thresholds
Module 9: Operational Reporting and Visualisation - Connecting SAP Analytics Cloud to HANA
- Building live data models for reporting
- Direct access vs imported models
- Creating interactive dashboards
- Drill-down and hierarchy navigation
- Mobile reporting best practices
- Using SAP BusinessObjects with HANA
- Designing queries for optimal performance
- Integration with Microsoft Excel via Live Connection
- Publishing models to Fiori launchpad
- Creating KPI tiles and dynamic lists
- Role-based dashboards for different users
- Setting up scheduled report distribution
- PDF and Excel export options
- Data storytelling techniques
- Colour coding and visual clarity standards
- Real-time vs batch-updated reports
- Embedding visualisations in portals
- User adoption strategies for new reports
- Feedback loops for dashboard improvement
Module 10: Migration and System Conversion Strategies - Assessing readiness for HANA migration
- Using SAP Readiness Check tool
- Identifying custom code dependencies
- Database migration using DMO (Database Migration Option)
- Homogenous vs heterogeneous system copy
- Testing migrated applications for compatibility
- Adjusting ABAP code for HANA optimisation
- Using AMDP (ABAP Managed Database Procedures)
- Data volume reduction techniques
- Index removal and code push-down
- Performance testing post-migration
- Change management for user teams
- Training end-users on new response times
- Post-go-live monitoring plan
- Support model during transition
- Handling functional gaps after migration
- Rollback planning and safety checks
- Engaging SAP support effectively
- Working with external partners
- Creating a post-migration roadmap
Module 11: Monitoring, Troubleshooting, and System Management - Using SAP HANA cockpit for system health
- Monitoring memory and CPU usage
- Tracking disk space and log volumes
- Alert configuration and notification setup
- System trace and diagnostic files
- Root cause analysis for performance issues
- Blocking sessions and lock management
- Database backup and recovery procedures
- Full, incremental, and log backups
- Scheduling and verifying backups
- Restoration testing and disaster drills
- Managing user sessions and connections
- Deadlock detection and resolution
- Garbage collection and memory cleanup
- Using performance monitor views
- Custom monitoring scripts
- Integration with SAP Solution Manager
- Automating routine administrative tasks
- System trace analysis
- Health check reports and KPIs
Module 12: Project Implementation and Business Alignment - Defining a business-driven HANA use case
- Stakeholder identification and engagement
- Building a business case with ROI metrics
- Creating a data governance framework
- Aligning data models with operational goals
- Designing for scalability and future needs
- Agile project methodology for HANA rollout
- Sprint planning and backlog management
- Demo preparation and executive presentations
- Gathering feedback from business users
- Version control using Git integration
- Transport and lifecycle management (LVC)
- Change requests and approval workflows
- Documentation for audit and compliance
- User training and change adoption
- Support handover to operations team
- KPI tracking post-implementation
- Continuous improvement cycles
- Measuring business impact and performance
- Preparing for the next phase of digitalisation
Module 13: Certification Preparation and Career Advancement - Understanding the SAP HANA certification paths
- Core vs modelling vs administration exams
- Study strategies for certification success
- Practice exercises and self-assessment
- Time management during exams
- Common pitfalls and how to avoid them
- How The Art of Service certification complements SAP’s official credentials
- Updating your LinkedIn profile with new skills
- Crafting a performance-based resume
- Positioning HANA expertise in job interviews
- Salary benchmarks for HANA professionals
- Negotiating promotions or role changes
- Building a personal brand as a data architect
- Contributing to internal knowledge sharing
- Leading cross-functional initiatives
- Mentoring junior team members
- Presenting at internal tech forums
- Preparing a board-ready transformation proposal
- Leveraging the Certificate of Completion for visibility
- Next steps: SAP S/4HANA, cloud architecture, AI integration
- Designing semantic data models for business clarity
- Core principles of dimensional modelling
- Understanding attributes, measures, and hierarchies
- Star schema and snowflake schema in HANA
- Fact tables and dimension tables design best practices
- Time and date dimensions: implementation strategies
- Creating calculation views from scratch
- Using attribute views, analytic views, and calculation views
- Join types and their performance impact
- Union, projection, and aggregation nodes in calculation views
- Variable usage in dynamic filtering
- Input parameters for interactive models
- Using hierarchies in data models
- Modelling time dependencies and versioning
- Handling slowly changing dimensions
- Creating reusable modelling components
- Best practices for view layering and reuse
- Naming standards and documentation practices
- Error handling in data models
- Version control and transport of models
Module 3: Advanced Modelling and Performance Optimisation - Identifying and eliminating performance bottlenecks
- SQL trace and performance analysis tools
- Memory usage optimisation techniques
- Columnar storage compression algorithms
- Partitioning strategies for large tables
- Indexing best practices in HANA
- Data aging and archiving strategies
- Using filters and calculate-before-aggregation
- Optimising calculation view execution plans
- Materialized views and their trade-offs
- Push-down processing principles
- Dynamic join pruning and query optimisation
- Analytic privileges for row-level security
- Using restricted and calculated measures
- Performance comparison between SQLScript and graphical views
- Cost-based optimisation in SAP HANA
- Query plan interpretation
- Using EXPLAIN PLAN and visualisation tools
- Statistics collection and update frequency
- Modelling for parallel processing
Module 4: SQLScript Programming for HANA - Introduction to SQLScript syntax and structure
- Scalar functions and built-in operators
- Using IF, WHILE, and TRY-CATCH logic
- Table variables and variable assignment
- Creating scripted calculation views
- Using scripts for complex aggregations
- Table operators: UNNEST, LATERAL VIEW
- Dynamic SQL in SQLScript
- Error handling and debugging techniques
- Best practices for script readability and maintenance
- Using temporal functions and time travel
- String manipulation and formatting functions
- Mathematical and statistical operations in SQLScript
- Working with JSON and XML data types
- Calling stored procedures from SQLScript
- Session variables and context handling
- Modularising code with sub-procedures
- Performance pitfalls in scripted views
- Secure coding practices
- Logging and monitoring script execution
Module 5: Stored Procedures and Scripted Logic - Creating and managing SQLScript stored procedures
- Input and output parameters configuration
- Calling stored procedures from external tools
- Using procedures for data transformation
- Debugging procedures step by step
- Handling transactions and rollbacks
- Using autonomous transactions
- Calling external APIs from HANA procedures
- Integrating HTTP calls in procedural logic
- Modular design of reusable logic
- Error propagation and exception handling
- Executing DDL operations in scripts
- Dynamic table creation and manipulation
- Scheduling procedure execution via timers
- Security model for stored procedures
- Role dependencies and privilege assignment
- Testing procedures with mock data
- Performance benchmarking of logic
- Version control for procedural code
- Documentation standards for scripts
Module 6: Data Provisioning and Integration - Overview of data integration tools in HANA
- SAP Landscape Transformation (SLT) replication
- Configuring SLT for real-time data sync
- Using SAP Data Services for ETL
- File-based data loading techniques
- Direct SQL or ODBC/JDBC connections
- Using Smart Data Access (SDA)
- Federated query execution across systems
- Virtual tables and remote source setup
- Performance considerations for virtualisation
- Smart Data Integration (SDI) architecture
- Agents and adapters configuration
- Streaming data with SDI
- Change data capture (CDC) implementation
- Batch vs real-time data loading trade-offs
- Scheduling and monitoring data jobs
- Error handling and recovery in ETL
- Data quality checks and cleansing
- Metadata management across sources
- Integration with SAP S/4HANA
Module 7: Security, Authorisation, and Compliance - Role-based access control model
- Creating and assigning analytic privileges
- Row-level and cell-level security
- Managing privileges for schemas, tables, views
- Object privileges vs system privileges
- Creating custom roles and templates
- Inheritance and composition of roles
- Masking sensitive data in queries
- Audit logging and trace configuration
- Export compliance and data residency
- Encryption at rest and in transit
- TLS/SSL configuration for HANA
- User management best practices
- Password policies and expiry rules
- Single sign-on integration with SAML
- Integration with LDAP and Active Directory
- Multi-factor authentication support
- Separation of duties for IT roles
- Privilege analysis tools
- Compliance reporting templates
Module 8: Real-Time Analytics and Predictive Processing - Overview of SAP HANA Predictive Analytics Library (PAL)
- Implementing clustering algorithms (k-means, DBSCAN)
- Regression models for forecasting
- Classification with decision trees and SVM
- Time series forecasting methods
- Outlier detection techniques
- Anomaly detection in real-time data
- Integration of R and Python with HANA
- Calling external engines via AFL wrappers
- Text analysis and sentiment processing
- Topic extraction and keyword analysis
- Geospatial data processing in HANA
- Spatial joins and distance calculations
- GPS data handling and visualisation
- Streaming analytics with structured data
- Event-based processing in HANA
- Using HANA for IoT data ingestion
- Sensor data aggregation and filtering
- Real-time dashboards powered by HANA
- Alerting mechanisms based on thresholds
Module 9: Operational Reporting and Visualisation - Connecting SAP Analytics Cloud to HANA
- Building live data models for reporting
- Direct access vs imported models
- Creating interactive dashboards
- Drill-down and hierarchy navigation
- Mobile reporting best practices
- Using SAP BusinessObjects with HANA
- Designing queries for optimal performance
- Integration with Microsoft Excel via Live Connection
- Publishing models to Fiori launchpad
- Creating KPI tiles and dynamic lists
- Role-based dashboards for different users
- Setting up scheduled report distribution
- PDF and Excel export options
- Data storytelling techniques
- Colour coding and visual clarity standards
- Real-time vs batch-updated reports
- Embedding visualisations in portals
- User adoption strategies for new reports
- Feedback loops for dashboard improvement
Module 10: Migration and System Conversion Strategies - Assessing readiness for HANA migration
- Using SAP Readiness Check tool
- Identifying custom code dependencies
- Database migration using DMO (Database Migration Option)
- Homogenous vs heterogeneous system copy
- Testing migrated applications for compatibility
- Adjusting ABAP code for HANA optimisation
- Using AMDP (ABAP Managed Database Procedures)
- Data volume reduction techniques
- Index removal and code push-down
- Performance testing post-migration
- Change management for user teams
- Training end-users on new response times
- Post-go-live monitoring plan
- Support model during transition
- Handling functional gaps after migration
- Rollback planning and safety checks
- Engaging SAP support effectively
- Working with external partners
- Creating a post-migration roadmap
Module 11: Monitoring, Troubleshooting, and System Management - Using SAP HANA cockpit for system health
- Monitoring memory and CPU usage
- Tracking disk space and log volumes
- Alert configuration and notification setup
- System trace and diagnostic files
- Root cause analysis for performance issues
- Blocking sessions and lock management
- Database backup and recovery procedures
- Full, incremental, and log backups
- Scheduling and verifying backups
- Restoration testing and disaster drills
- Managing user sessions and connections
- Deadlock detection and resolution
- Garbage collection and memory cleanup
- Using performance monitor views
- Custom monitoring scripts
- Integration with SAP Solution Manager
- Automating routine administrative tasks
- System trace analysis
- Health check reports and KPIs
Module 12: Project Implementation and Business Alignment - Defining a business-driven HANA use case
- Stakeholder identification and engagement
- Building a business case with ROI metrics
- Creating a data governance framework
- Aligning data models with operational goals
- Designing for scalability and future needs
- Agile project methodology for HANA rollout
- Sprint planning and backlog management
- Demo preparation and executive presentations
- Gathering feedback from business users
- Version control using Git integration
- Transport and lifecycle management (LVC)
- Change requests and approval workflows
- Documentation for audit and compliance
- User training and change adoption
- Support handover to operations team
- KPI tracking post-implementation
- Continuous improvement cycles
- Measuring business impact and performance
- Preparing for the next phase of digitalisation
Module 13: Certification Preparation and Career Advancement - Understanding the SAP HANA certification paths
- Core vs modelling vs administration exams
- Study strategies for certification success
- Practice exercises and self-assessment
- Time management during exams
- Common pitfalls and how to avoid them
- How The Art of Service certification complements SAP’s official credentials
- Updating your LinkedIn profile with new skills
- Crafting a performance-based resume
- Positioning HANA expertise in job interviews
- Salary benchmarks for HANA professionals
- Negotiating promotions or role changes
- Building a personal brand as a data architect
- Contributing to internal knowledge sharing
- Leading cross-functional initiatives
- Mentoring junior team members
- Presenting at internal tech forums
- Preparing a board-ready transformation proposal
- Leveraging the Certificate of Completion for visibility
- Next steps: SAP S/4HANA, cloud architecture, AI integration
- Introduction to SQLScript syntax and structure
- Scalar functions and built-in operators
- Using IF, WHILE, and TRY-CATCH logic
- Table variables and variable assignment
- Creating scripted calculation views
- Using scripts for complex aggregations
- Table operators: UNNEST, LATERAL VIEW
- Dynamic SQL in SQLScript
- Error handling and debugging techniques
- Best practices for script readability and maintenance
- Using temporal functions and time travel
- String manipulation and formatting functions
- Mathematical and statistical operations in SQLScript
- Working with JSON and XML data types
- Calling stored procedures from SQLScript
- Session variables and context handling
- Modularising code with sub-procedures
- Performance pitfalls in scripted views
- Secure coding practices
- Logging and monitoring script execution
Module 5: Stored Procedures and Scripted Logic - Creating and managing SQLScript stored procedures
- Input and output parameters configuration
- Calling stored procedures from external tools
- Using procedures for data transformation
- Debugging procedures step by step
- Handling transactions and rollbacks
- Using autonomous transactions
- Calling external APIs from HANA procedures
- Integrating HTTP calls in procedural logic
- Modular design of reusable logic
- Error propagation and exception handling
- Executing DDL operations in scripts
- Dynamic table creation and manipulation
- Scheduling procedure execution via timers
- Security model for stored procedures
- Role dependencies and privilege assignment
- Testing procedures with mock data
- Performance benchmarking of logic
- Version control for procedural code
- Documentation standards for scripts
Module 6: Data Provisioning and Integration - Overview of data integration tools in HANA
- SAP Landscape Transformation (SLT) replication
- Configuring SLT for real-time data sync
- Using SAP Data Services for ETL
- File-based data loading techniques
- Direct SQL or ODBC/JDBC connections
- Using Smart Data Access (SDA)
- Federated query execution across systems
- Virtual tables and remote source setup
- Performance considerations for virtualisation
- Smart Data Integration (SDI) architecture
- Agents and adapters configuration
- Streaming data with SDI
- Change data capture (CDC) implementation
- Batch vs real-time data loading trade-offs
- Scheduling and monitoring data jobs
- Error handling and recovery in ETL
- Data quality checks and cleansing
- Metadata management across sources
- Integration with SAP S/4HANA
Module 7: Security, Authorisation, and Compliance - Role-based access control model
- Creating and assigning analytic privileges
- Row-level and cell-level security
- Managing privileges for schemas, tables, views
- Object privileges vs system privileges
- Creating custom roles and templates
- Inheritance and composition of roles
- Masking sensitive data in queries
- Audit logging and trace configuration
- Export compliance and data residency
- Encryption at rest and in transit
- TLS/SSL configuration for HANA
- User management best practices
- Password policies and expiry rules
- Single sign-on integration with SAML
- Integration with LDAP and Active Directory
- Multi-factor authentication support
- Separation of duties for IT roles
- Privilege analysis tools
- Compliance reporting templates
Module 8: Real-Time Analytics and Predictive Processing - Overview of SAP HANA Predictive Analytics Library (PAL)
- Implementing clustering algorithms (k-means, DBSCAN)
- Regression models for forecasting
- Classification with decision trees and SVM
- Time series forecasting methods
- Outlier detection techniques
- Anomaly detection in real-time data
- Integration of R and Python with HANA
- Calling external engines via AFL wrappers
- Text analysis and sentiment processing
- Topic extraction and keyword analysis
- Geospatial data processing in HANA
- Spatial joins and distance calculations
- GPS data handling and visualisation
- Streaming analytics with structured data
- Event-based processing in HANA
- Using HANA for IoT data ingestion
- Sensor data aggregation and filtering
- Real-time dashboards powered by HANA
- Alerting mechanisms based on thresholds
Module 9: Operational Reporting and Visualisation - Connecting SAP Analytics Cloud to HANA
- Building live data models for reporting
- Direct access vs imported models
- Creating interactive dashboards
- Drill-down and hierarchy navigation
- Mobile reporting best practices
- Using SAP BusinessObjects with HANA
- Designing queries for optimal performance
- Integration with Microsoft Excel via Live Connection
- Publishing models to Fiori launchpad
- Creating KPI tiles and dynamic lists
- Role-based dashboards for different users
- Setting up scheduled report distribution
- PDF and Excel export options
- Data storytelling techniques
- Colour coding and visual clarity standards
- Real-time vs batch-updated reports
- Embedding visualisations in portals
- User adoption strategies for new reports
- Feedback loops for dashboard improvement
Module 10: Migration and System Conversion Strategies - Assessing readiness for HANA migration
- Using SAP Readiness Check tool
- Identifying custom code dependencies
- Database migration using DMO (Database Migration Option)
- Homogenous vs heterogeneous system copy
- Testing migrated applications for compatibility
- Adjusting ABAP code for HANA optimisation
- Using AMDP (ABAP Managed Database Procedures)
- Data volume reduction techniques
- Index removal and code push-down
- Performance testing post-migration
- Change management for user teams
- Training end-users on new response times
- Post-go-live monitoring plan
- Support model during transition
- Handling functional gaps after migration
- Rollback planning and safety checks
- Engaging SAP support effectively
- Working with external partners
- Creating a post-migration roadmap
Module 11: Monitoring, Troubleshooting, and System Management - Using SAP HANA cockpit for system health
- Monitoring memory and CPU usage
- Tracking disk space and log volumes
- Alert configuration and notification setup
- System trace and diagnostic files
- Root cause analysis for performance issues
- Blocking sessions and lock management
- Database backup and recovery procedures
- Full, incremental, and log backups
- Scheduling and verifying backups
- Restoration testing and disaster drills
- Managing user sessions and connections
- Deadlock detection and resolution
- Garbage collection and memory cleanup
- Using performance monitor views
- Custom monitoring scripts
- Integration with SAP Solution Manager
- Automating routine administrative tasks
- System trace analysis
- Health check reports and KPIs
Module 12: Project Implementation and Business Alignment - Defining a business-driven HANA use case
- Stakeholder identification and engagement
- Building a business case with ROI metrics
- Creating a data governance framework
- Aligning data models with operational goals
- Designing for scalability and future needs
- Agile project methodology for HANA rollout
- Sprint planning and backlog management
- Demo preparation and executive presentations
- Gathering feedback from business users
- Version control using Git integration
- Transport and lifecycle management (LVC)
- Change requests and approval workflows
- Documentation for audit and compliance
- User training and change adoption
- Support handover to operations team
- KPI tracking post-implementation
- Continuous improvement cycles
- Measuring business impact and performance
- Preparing for the next phase of digitalisation
Module 13: Certification Preparation and Career Advancement - Understanding the SAP HANA certification paths
- Core vs modelling vs administration exams
- Study strategies for certification success
- Practice exercises and self-assessment
- Time management during exams
- Common pitfalls and how to avoid them
- How The Art of Service certification complements SAP’s official credentials
- Updating your LinkedIn profile with new skills
- Crafting a performance-based resume
- Positioning HANA expertise in job interviews
- Salary benchmarks for HANA professionals
- Negotiating promotions or role changes
- Building a personal brand as a data architect
- Contributing to internal knowledge sharing
- Leading cross-functional initiatives
- Mentoring junior team members
- Presenting at internal tech forums
- Preparing a board-ready transformation proposal
- Leveraging the Certificate of Completion for visibility
- Next steps: SAP S/4HANA, cloud architecture, AI integration
- Overview of data integration tools in HANA
- SAP Landscape Transformation (SLT) replication
- Configuring SLT for real-time data sync
- Using SAP Data Services for ETL
- File-based data loading techniques
- Direct SQL or ODBC/JDBC connections
- Using Smart Data Access (SDA)
- Federated query execution across systems
- Virtual tables and remote source setup
- Performance considerations for virtualisation
- Smart Data Integration (SDI) architecture
- Agents and adapters configuration
- Streaming data with SDI
- Change data capture (CDC) implementation
- Batch vs real-time data loading trade-offs
- Scheduling and monitoring data jobs
- Error handling and recovery in ETL
- Data quality checks and cleansing
- Metadata management across sources
- Integration with SAP S/4HANA
Module 7: Security, Authorisation, and Compliance - Role-based access control model
- Creating and assigning analytic privileges
- Row-level and cell-level security
- Managing privileges for schemas, tables, views
- Object privileges vs system privileges
- Creating custom roles and templates
- Inheritance and composition of roles
- Masking sensitive data in queries
- Audit logging and trace configuration
- Export compliance and data residency
- Encryption at rest and in transit
- TLS/SSL configuration for HANA
- User management best practices
- Password policies and expiry rules
- Single sign-on integration with SAML
- Integration with LDAP and Active Directory
- Multi-factor authentication support
- Separation of duties for IT roles
- Privilege analysis tools
- Compliance reporting templates
Module 8: Real-Time Analytics and Predictive Processing - Overview of SAP HANA Predictive Analytics Library (PAL)
- Implementing clustering algorithms (k-means, DBSCAN)
- Regression models for forecasting
- Classification with decision trees and SVM
- Time series forecasting methods
- Outlier detection techniques
- Anomaly detection in real-time data
- Integration of R and Python with HANA
- Calling external engines via AFL wrappers
- Text analysis and sentiment processing
- Topic extraction and keyword analysis
- Geospatial data processing in HANA
- Spatial joins and distance calculations
- GPS data handling and visualisation
- Streaming analytics with structured data
- Event-based processing in HANA
- Using HANA for IoT data ingestion
- Sensor data aggregation and filtering
- Real-time dashboards powered by HANA
- Alerting mechanisms based on thresholds
Module 9: Operational Reporting and Visualisation - Connecting SAP Analytics Cloud to HANA
- Building live data models for reporting
- Direct access vs imported models
- Creating interactive dashboards
- Drill-down and hierarchy navigation
- Mobile reporting best practices
- Using SAP BusinessObjects with HANA
- Designing queries for optimal performance
- Integration with Microsoft Excel via Live Connection
- Publishing models to Fiori launchpad
- Creating KPI tiles and dynamic lists
- Role-based dashboards for different users
- Setting up scheduled report distribution
- PDF and Excel export options
- Data storytelling techniques
- Colour coding and visual clarity standards
- Real-time vs batch-updated reports
- Embedding visualisations in portals
- User adoption strategies for new reports
- Feedback loops for dashboard improvement
Module 10: Migration and System Conversion Strategies - Assessing readiness for HANA migration
- Using SAP Readiness Check tool
- Identifying custom code dependencies
- Database migration using DMO (Database Migration Option)
- Homogenous vs heterogeneous system copy
- Testing migrated applications for compatibility
- Adjusting ABAP code for HANA optimisation
- Using AMDP (ABAP Managed Database Procedures)
- Data volume reduction techniques
- Index removal and code push-down
- Performance testing post-migration
- Change management for user teams
- Training end-users on new response times
- Post-go-live monitoring plan
- Support model during transition
- Handling functional gaps after migration
- Rollback planning and safety checks
- Engaging SAP support effectively
- Working with external partners
- Creating a post-migration roadmap
Module 11: Monitoring, Troubleshooting, and System Management - Using SAP HANA cockpit for system health
- Monitoring memory and CPU usage
- Tracking disk space and log volumes
- Alert configuration and notification setup
- System trace and diagnostic files
- Root cause analysis for performance issues
- Blocking sessions and lock management
- Database backup and recovery procedures
- Full, incremental, and log backups
- Scheduling and verifying backups
- Restoration testing and disaster drills
- Managing user sessions and connections
- Deadlock detection and resolution
- Garbage collection and memory cleanup
- Using performance monitor views
- Custom monitoring scripts
- Integration with SAP Solution Manager
- Automating routine administrative tasks
- System trace analysis
- Health check reports and KPIs
Module 12: Project Implementation and Business Alignment - Defining a business-driven HANA use case
- Stakeholder identification and engagement
- Building a business case with ROI metrics
- Creating a data governance framework
- Aligning data models with operational goals
- Designing for scalability and future needs
- Agile project methodology for HANA rollout
- Sprint planning and backlog management
- Demo preparation and executive presentations
- Gathering feedback from business users
- Version control using Git integration
- Transport and lifecycle management (LVC)
- Change requests and approval workflows
- Documentation for audit and compliance
- User training and change adoption
- Support handover to operations team
- KPI tracking post-implementation
- Continuous improvement cycles
- Measuring business impact and performance
- Preparing for the next phase of digitalisation
Module 13: Certification Preparation and Career Advancement - Understanding the SAP HANA certification paths
- Core vs modelling vs administration exams
- Study strategies for certification success
- Practice exercises and self-assessment
- Time management during exams
- Common pitfalls and how to avoid them
- How The Art of Service certification complements SAP’s official credentials
- Updating your LinkedIn profile with new skills
- Crafting a performance-based resume
- Positioning HANA expertise in job interviews
- Salary benchmarks for HANA professionals
- Negotiating promotions or role changes
- Building a personal brand as a data architect
- Contributing to internal knowledge sharing
- Leading cross-functional initiatives
- Mentoring junior team members
- Presenting at internal tech forums
- Preparing a board-ready transformation proposal
- Leveraging the Certificate of Completion for visibility
- Next steps: SAP S/4HANA, cloud architecture, AI integration
- Overview of SAP HANA Predictive Analytics Library (PAL)
- Implementing clustering algorithms (k-means, DBSCAN)
- Regression models for forecasting
- Classification with decision trees and SVM
- Time series forecasting methods
- Outlier detection techniques
- Anomaly detection in real-time data
- Integration of R and Python with HANA
- Calling external engines via AFL wrappers
- Text analysis and sentiment processing
- Topic extraction and keyword analysis
- Geospatial data processing in HANA
- Spatial joins and distance calculations
- GPS data handling and visualisation
- Streaming analytics with structured data
- Event-based processing in HANA
- Using HANA for IoT data ingestion
- Sensor data aggregation and filtering
- Real-time dashboards powered by HANA
- Alerting mechanisms based on thresholds
Module 9: Operational Reporting and Visualisation - Connecting SAP Analytics Cloud to HANA
- Building live data models for reporting
- Direct access vs imported models
- Creating interactive dashboards
- Drill-down and hierarchy navigation
- Mobile reporting best practices
- Using SAP BusinessObjects with HANA
- Designing queries for optimal performance
- Integration with Microsoft Excel via Live Connection
- Publishing models to Fiori launchpad
- Creating KPI tiles and dynamic lists
- Role-based dashboards for different users
- Setting up scheduled report distribution
- PDF and Excel export options
- Data storytelling techniques
- Colour coding and visual clarity standards
- Real-time vs batch-updated reports
- Embedding visualisations in portals
- User adoption strategies for new reports
- Feedback loops for dashboard improvement
Module 10: Migration and System Conversion Strategies - Assessing readiness for HANA migration
- Using SAP Readiness Check tool
- Identifying custom code dependencies
- Database migration using DMO (Database Migration Option)
- Homogenous vs heterogeneous system copy
- Testing migrated applications for compatibility
- Adjusting ABAP code for HANA optimisation
- Using AMDP (ABAP Managed Database Procedures)
- Data volume reduction techniques
- Index removal and code push-down
- Performance testing post-migration
- Change management for user teams
- Training end-users on new response times
- Post-go-live monitoring plan
- Support model during transition
- Handling functional gaps after migration
- Rollback planning and safety checks
- Engaging SAP support effectively
- Working with external partners
- Creating a post-migration roadmap
Module 11: Monitoring, Troubleshooting, and System Management - Using SAP HANA cockpit for system health
- Monitoring memory and CPU usage
- Tracking disk space and log volumes
- Alert configuration and notification setup
- System trace and diagnostic files
- Root cause analysis for performance issues
- Blocking sessions and lock management
- Database backup and recovery procedures
- Full, incremental, and log backups
- Scheduling and verifying backups
- Restoration testing and disaster drills
- Managing user sessions and connections
- Deadlock detection and resolution
- Garbage collection and memory cleanup
- Using performance monitor views
- Custom monitoring scripts
- Integration with SAP Solution Manager
- Automating routine administrative tasks
- System trace analysis
- Health check reports and KPIs
Module 12: Project Implementation and Business Alignment - Defining a business-driven HANA use case
- Stakeholder identification and engagement
- Building a business case with ROI metrics
- Creating a data governance framework
- Aligning data models with operational goals
- Designing for scalability and future needs
- Agile project methodology for HANA rollout
- Sprint planning and backlog management
- Demo preparation and executive presentations
- Gathering feedback from business users
- Version control using Git integration
- Transport and lifecycle management (LVC)
- Change requests and approval workflows
- Documentation for audit and compliance
- User training and change adoption
- Support handover to operations team
- KPI tracking post-implementation
- Continuous improvement cycles
- Measuring business impact and performance
- Preparing for the next phase of digitalisation
Module 13: Certification Preparation and Career Advancement - Understanding the SAP HANA certification paths
- Core vs modelling vs administration exams
- Study strategies for certification success
- Practice exercises and self-assessment
- Time management during exams
- Common pitfalls and how to avoid them
- How The Art of Service certification complements SAP’s official credentials
- Updating your LinkedIn profile with new skills
- Crafting a performance-based resume
- Positioning HANA expertise in job interviews
- Salary benchmarks for HANA professionals
- Negotiating promotions or role changes
- Building a personal brand as a data architect
- Contributing to internal knowledge sharing
- Leading cross-functional initiatives
- Mentoring junior team members
- Presenting at internal tech forums
- Preparing a board-ready transformation proposal
- Leveraging the Certificate of Completion for visibility
- Next steps: SAP S/4HANA, cloud architecture, AI integration
- Assessing readiness for HANA migration
- Using SAP Readiness Check tool
- Identifying custom code dependencies
- Database migration using DMO (Database Migration Option)
- Homogenous vs heterogeneous system copy
- Testing migrated applications for compatibility
- Adjusting ABAP code for HANA optimisation
- Using AMDP (ABAP Managed Database Procedures)
- Data volume reduction techniques
- Index removal and code push-down
- Performance testing post-migration
- Change management for user teams
- Training end-users on new response times
- Post-go-live monitoring plan
- Support model during transition
- Handling functional gaps after migration
- Rollback planning and safety checks
- Engaging SAP support effectively
- Working with external partners
- Creating a post-migration roadmap
Module 11: Monitoring, Troubleshooting, and System Management - Using SAP HANA cockpit for system health
- Monitoring memory and CPU usage
- Tracking disk space and log volumes
- Alert configuration and notification setup
- System trace and diagnostic files
- Root cause analysis for performance issues
- Blocking sessions and lock management
- Database backup and recovery procedures
- Full, incremental, and log backups
- Scheduling and verifying backups
- Restoration testing and disaster drills
- Managing user sessions and connections
- Deadlock detection and resolution
- Garbage collection and memory cleanup
- Using performance monitor views
- Custom monitoring scripts
- Integration with SAP Solution Manager
- Automating routine administrative tasks
- System trace analysis
- Health check reports and KPIs
Module 12: Project Implementation and Business Alignment - Defining a business-driven HANA use case
- Stakeholder identification and engagement
- Building a business case with ROI metrics
- Creating a data governance framework
- Aligning data models with operational goals
- Designing for scalability and future needs
- Agile project methodology for HANA rollout
- Sprint planning and backlog management
- Demo preparation and executive presentations
- Gathering feedback from business users
- Version control using Git integration
- Transport and lifecycle management (LVC)
- Change requests and approval workflows
- Documentation for audit and compliance
- User training and change adoption
- Support handover to operations team
- KPI tracking post-implementation
- Continuous improvement cycles
- Measuring business impact and performance
- Preparing for the next phase of digitalisation
Module 13: Certification Preparation and Career Advancement - Understanding the SAP HANA certification paths
- Core vs modelling vs administration exams
- Study strategies for certification success
- Practice exercises and self-assessment
- Time management during exams
- Common pitfalls and how to avoid them
- How The Art of Service certification complements SAP’s official credentials
- Updating your LinkedIn profile with new skills
- Crafting a performance-based resume
- Positioning HANA expertise in job interviews
- Salary benchmarks for HANA professionals
- Negotiating promotions or role changes
- Building a personal brand as a data architect
- Contributing to internal knowledge sharing
- Leading cross-functional initiatives
- Mentoring junior team members
- Presenting at internal tech forums
- Preparing a board-ready transformation proposal
- Leveraging the Certificate of Completion for visibility
- Next steps: SAP S/4HANA, cloud architecture, AI integration
- Defining a business-driven HANA use case
- Stakeholder identification and engagement
- Building a business case with ROI metrics
- Creating a data governance framework
- Aligning data models with operational goals
- Designing for scalability and future needs
- Agile project methodology for HANA rollout
- Sprint planning and backlog management
- Demo preparation and executive presentations
- Gathering feedback from business users
- Version control using Git integration
- Transport and lifecycle management (LVC)
- Change requests and approval workflows
- Documentation for audit and compliance
- User training and change adoption
- Support handover to operations team
- KPI tracking post-implementation
- Continuous improvement cycles
- Measuring business impact and performance
- Preparing for the next phase of digitalisation