Unit 1: Introduction to SAP HANA

  1. Introduction to SAP HANAPREVIEW
  2. SAP In-Memory Strategy
  3. HANA compare to BWA

Unit 2: Look & Feel

  1. In-Memory Computing Studio
  2. Administration view
  3. Navigator View
  4. System Monitor
  5. Information Modeler

Unit 3: Architecture

  1. Architecture Overview
  2. IMCE and Surroundings
  3. Row Store
  4. Column Store
  5. Loading data into HANA
  6. Data Modeling
  7. Reporting
  8. Persistent Layer
  9. Backup & Recovery

Unit 4: Data Provisioning

  1. Method 1 – Data Provisioning using FLAT FILES
  2. Method 2 – Data provisioning using BODS 4.2 (ETL Based Approach – Building AGILE Data Marts) a. Features of SAP Data Services solution for SAP HANA b. Process of loading data from ECC to SAP HANA using the ETL method
  3. Method 3 – Data provisioning using SLT a. SAP Landscape Replication server for HANA b. Key benefits of SLT replication server c. Key benefits of Trigger-Based Approach d. Architecture for SAP source replication e. Architecture for Non-SAP source replication f. Configuration and monitoring Dashboard g. Creating new Configuration for SAP Sources h. Creating New Configuration for Non-SAP sources i. Result of Creating new Configuration j. Launching Data provisioning UI in HANA studio k. Start Load/Replication l. Stop/Suspend replication m. Status Monitoring in HANA Studio n. SLT based transformation Concept o. Advanced replication settings p. Change of table structuring and partitioning q. Filtering and selective data replication
  4. Method 4 – Data provisioning using Direct Extractor Connection (DCX) a. Using SAP provided Business Content Extractor b. ABAP Data Flows for Table and Pool clusters
  5. Method 5 – SAP HANA Smart Data Access
  6. Method 6 – Remote DATA Sync a. Smart Data Streaming

Unit 1: Introduction to SAP HANA

  1. Introduction to SAP HANAPREVIEW
  2. SAP In-Memory Strategy
  3. HANA compare to BWA

Unit 2: Look & Feel

  1. In-Memory Computing Studio
  2. Administration view
  3. Navigator View
  4. System Monitor
  5. Information Modeler

Unit 3: Architecture

  1. Architecture Overview
  2. IMCE and Surroundings
  3. Row Store
  4. Column Store
  5. Loading data into HANA
  6. Data Modeling
  7. Reporting
  8. Persistent Layer
  9. Backup & Recovery

Unit 4: Data Provisioning

  1. Method 1 – Data Provisioning using FLAT FILES
  2. Method 2 – Data provisioning using BODS 4.2 (ETL Based Approach – Building AGILE Data Marts) a. Features of SAP Data Services solution for SAP HANA b. Process of loading data from ECC to SAP HANA using the ETL method
  3. Method 3 – Data provisioning using SLT a. SAP Landscape Replication server for HANA b. Key benefits of SLT replication server c. Key benefits of Trigger-Based Approach d. Architecture for SAP source replication e. Architecture for Non-SAP source replication f. Configuration and monitoring Dashboard g. Creating new Configuration for SAP Sources h. Creating New Configuration for Non-SAP sources i. Result of Creating new Configuration j. Launching Data provisioning UI in HANA studio k. Start Load/Replication l. Stop/Suspend replication m. Status Monitoring in HANA Studio n. SLT based transformation Concept o. Advanced replication settings p. Change of table structuring and partitioning q. Filtering and selective data replication
  4. Method 4 – Data provisioning using Direct Extractor Connection (DCX) a. Using SAP provided Business Content Extractor b. ABAP Data Flows for Table and Pool clusters
  5. Method 5 – SAP HANA Smart Data Access
  6. Method 6 – Remote DATA Sync a. Smart Data Streaming

Unit5 : Modeling

  1. Purpose of Information Modeler
  2. Levels of Modeling in SAP HANA
  3. Attribute Views
  4. Analytic Views
  5. Calculation Views
  6. Explaining Predictive Modeling
  7. Discovering SAP HANA Live
  8. Creating Advanced Calculation Views using GUI and SCRIPT methods
  9. Creating Attribute Views, Analytical Views, Calculation Views for FI scenarios, COPA scenarios, Sales Scenarios, Purchasing Scenarios and Marketing Scenarios
  10. Creating Calcuation Views with Dimension, Cube and STAR-Join
  11. Creating Decision Tables and Analytic Previleges
  12. Using Hierarchies (Level Based and Parent-Child Hierarchies)
  13. Creating Restricted and Calculated Measures
  14. Defining and using Filter Operations
  15. Using Variables, input parameters
  16. Explaining new aggregation function for measures
  17. SAP HANA SQL Introduction
  18. SQL Script and Procedures
  19. Using Currency Conversions
  20. Creating Hyperlinks
  21. Persistency Considerations
  22. SAP HANA Engine Overview
  23. Choosing Views for HANA
  24. Using SAP HANA Information Composer for Modeling
  25. Processing Information Models
  26. Validating Models
  1. Purpose of Information Modeler
  2. Levels of Modeling in SAP HANA
  3. Attribute Views
  4. Analytic Views
  5. Calculation Views
  6. Explaining Predictive Modeling
  7. Discovering SAP HANA Live
  8. Creating Advanced Calculation Views using GUI and SCRIPT methods
  9. Creating Attribute Views, Analytical Views, Calculation Views for FI scenarios, COPA scenarios, Sales Scenarios, Purchasing Scenarios and Marketing Scenarios
  10. Creating Calcuation Views with Dimension, Cube and STAR-Join
  11. Creating Decision Tables and Analytic Previleges
  12. Using Hierarchies (Level Based and Parent-Child Hierarchies)
  13. Creating Restricted and Calculated Measures
  14. Defining and using Filter Operations
  15. Using Variables, input parameters
  16. Explaining new aggregation function for measures
  17. SAP HANA SQL Introduction
  18. SQL Script and Procedures
  19. Using Currency Conversions
  20. Creating Hyperlinks
  21. Persistency Considerations
  22. SAP HANA Engine Overview
  23. Choosing Views for HANA
  24. Using SAP HANA Information Composer for Modeling
  25. Processing Information Models
  26. Validating Models
  1. Purpose of Information Modeler
  2. Levels of Modeling in SAP HANA
  3. Attribute Views
  4. Analytic Views
  5. Calculation Views
  6. Explaining Predictive Modeling
  7. Discovering SAP HANA Live
  8. Creating Advanced Calculation Views using GUI and SCRIPT methods
  9. Creating Attribute Views, Analytical Views, Calculation Views for FI scenarios, COPA scenarios, Sales Scenarios, Purchasing Scenarios and Marketing Scenarios
  10. Creating Calcuation Views with Dimension, Cube and STAR-Join
  11. Creating Decision Tables and Analytic Previleges
  12. Using Hierarchies (Level Based and Parent-Child Hierarchies)
  13. Creating Restricted and Calculated Measures
  14. Defining and using Filter Operations
  15. Using Variables, input parameters
  16. Explaining new aggregation function for measures
  17. SAP HANA SQL Introduction
  18. SQL Script and Procedures
  19. Using Currency Conversions
  20. Creating Hyperlinks
  21. Persistency Considerations
  22. SAP HANA Engine Overview
  23. Choosing Views for HANA
  24. Using SAP HANA Information Composer for Modeling
  25. Processing Information Models
  26. Validating Models

Unit 7: User Management

  1. Understand and Creation of Users
  2. Creation of Roles and Privileges
  3. Creation of Role Hierarchy
  4. Generating SAP HANA Live Privileges
  5. Assignment of Users to Roles
  6. Authentication

Unit 8: Security and Authorizations

  1. User Management and Security
  2. Types of Privileges
  3. Template Roles
  4. Administrative
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