S/4HANA Analytics, Artificial Intelligence, Crystal Reports, Lumira, Webi, Hana, BI, BO, BW, KI

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SAP HANA Tutorials

1. SAP HANA Introduction

1.1 SAP HANA Overview

1.2 In-Memory Computing Engine

1.3 SAP HANA Studio

1.4 Studio Administration View

1.5 System Monitor

1.6 Information Modeler

1.7 Core Architecture

2. SAP HANA Modeling

2.1 Modeling

2.2 Data Warehouse

2.3 Tables

2.4 Packages

2.5 Attribute View

2.6 Analytic View

2.7 Calculation View

2.8 Analytic Privileges

2.9 Information Composer

2.10 Export & Import

3. SAP HANA Reporting

3.1 Reporting View

3.2 Bi 4.0 Connectivity to Hana Views

3.3 Crystal Reports for Enterprise

3.4 Excel Integration

4. SAP HANA Security

4.1 Security Overview

4.2 User Administration & Role Management

4.3 Authentications

4.4 Authorization Methods

4.5 License Management

4.6 Auditing


5. SAP HANA Data Replication

5.1 Data Replication Overview

5.2 ETL Based Replication

5.3 Log Based Replication

5.4 DXC Method

5.5 CTL Method

5.6 MDX Provider

6. SAP HANA Monitoring

6.1 Monitoring & Alerting

6.2 Persistent Layer

6.3 Backup & Recovery

6.4 High Availability

6.5 Log Configuration

7. SAP HANA SQL

7.1 SQL Overview

7.2 Data Types

7.3 SQL Operators

7.4 SQL Functions

7.5 SQL Expressions

7.6 SQL Stored Procedures

7.7 SQL Sequences

7.8 SQL Trigge

7.9 SQL Synonym

7.10 SQL Explain Plans

7.11 SQL Data Profiling

7.12 SQL Script

Analytics Tutorials

BW Tutorials

BI Tutorials

SAP HANA BI Development

SAP BW on HANA Tutorials

SAP Crystal Reports Tutorials

SAP Analytics Cloud Tutorials

SAP Business Explorer Tutorials

SAP Dashboards Tutorials

Design Studio Tutorials

SAP Webi Tutorials

SAP Lumira

SAP Information Design Tool (IDT)

SAP Universe Designer Tutorials

SAP BO Administration Tutorials

SAP BO Analysis Edition for OLAP

SAP BO Data Services (BODS)

Miscellaneous

SAP HANA Interview Questions

Nr.KursnameBeschreibungLink
1Introduction to Generative AIEinstieg in generative KI + eigene KI-Apps mit Google-Tools (45 Min)Link
2Introduction to Large Language ModelsGrundlagen zu LLMs, Einsatzmöglichkeiten und Optimierung (45 Min)Link
3Introduction to Responsible AIÜberblick über Googles verantwortungsvolle KI + 7 PrinzipienLink
4Generative AI FundamentalsKombination aus LLMs- und Responsible-AI-KursLink
5Introduction to Image GenerationEinführung in Diffusionsmodelle zur BildgenerierungLink
6Encoder-Decoder ArchitectureArchitektur für Übersetzung, Zusammenfassung & Co.Link
7Attention MechanismFokusmechanismus für neuronale Netze (Dauer: ca. 45 Min)Link
8Transformer Models and BERT ModelEinführung in Transformer & BERT + BadgeLink
9Create Image Captioning ModelsBildbeschreibungen per Deep Learning modellierenLink
10Introduction to Generative AI StudioÜberblick über Googles Generative AI Studio + DemosLink

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