Expand knowledge in the area of SAP Analytics and make everyday work easier.

In den SAP Analytics training course, knowledge in the area of BW/4HANA data warehousing is deepened. The SAP training explains the architecture of SAP BW/4HANAthe creation of InfoProviders, ODS Views and Composite Providers. Data extraction, data provision and execution with ODP are also discussed. A further point during the SAP course is the creation of Native HANA data models and the combination of BW data models.

Screen BW 4 HANA

What are the contents of the SAP courses?

SAP training for beginners

  • Description of SAP HANA
  • Technical requirements for SAP HANA
  • Data management with SAP HANA
  • Analytical processing with SAP HANA
  • Data Warehouses operate with SAP HANA
  • Running SAP applications on SAP HANA
  • SAP HANA application development
  • Monitor Sap HANA
  • Security and data protection with SAP HANA
  • Migration to SAP HANA
  • Understand the key concepts of SAP HANA
  • Working with the various SAP HANA interfaces used by developers and administrators
  • Creating a data model with SAP HANA modelling tools
  • Capture and enrich data and load into SAP HANA
  •  

SAP training for advanced learners

  • Explains the advantages of the new SAP "in-memory" database basis for SAP BW
  • Explains HANA-specific features as well as optimised existing and new data models or functions of SAP BW
  • Capable of supporting a migration project to SAP BW on SAP HANA from the application side
  • Introduces the SAP architecture framework of LSA++ and gives advice on how to adapt an existing framework.
  • Explains native HANA modelling
  • Provides an overview of new SAP HANA-related data delivery methods for SAP BW, including HANA Smart Data Access (SDA) and SAP HANA Smart Data Integration (SDI)
  • Outlines the concept of operational data provision in the context of SAP BW as a consumer
  • Provides an overview of SAP's next generation solutions SAP BW/4HANA and SAP Analytics Cloud
  • Provides students with an overview of SAP BW/4HANA
  • Knowledge transfer to create query definitions with the eclipse-based BW Query Designer in SAP HANA Studio and make them available for analysis
  • Providing an overview of SAP Analytics including SAP Analytics Cloud
  • Understand the architecture and fundamentals of SAP BW/4HANA
  • Creating and maintaining InfoObjects, Advanced DataStore Objects, CompositeProviders and ODS Views
  • Analyse master and transaction data in SAP BW/4HANA
  • Understand SAP HANA native models and be able to combine them with BW/4HANA models
  • Demonstrating the advantages of the new SAP "in-memory" database basis for SAP BW
  • Understanding modelling requirements and comparing modelling approaches
  • Discussion of best practices guidelines such as LSA++ and the separation of master and transaction data.
  • Application of SAP Business Content
  • Harnessing the power of SAP BW/4HANA modelling artefacts
  • Harmonisation of transaction data from different source systems
  • Generate External HANA Views and Understand Mixed Scenarios
  • Sketching scenarios for stock management and stock coverage
  • Extract data from SAP source systems and another BW with Operational Data Provisioning (ODP) 
  • Obtain data via various interfaces, such as: SDI - Smart Data Integration, SDA - Smart Data Access, Flat File and CDS views.
  • Presentation of advanced functions of Streaming Process Chains
  • Integrate data from SAP HANA via BW source systems into BW/4HANA
  • Presentation of the new user interfaces for working with SAP BW/4HANA: SAP BW/4HANA Cockpit and SAP BW/4HANA Modelling Tools
  • Presentation of the SAP BW/4HANA conversion approaches and the associated tools for a transformation project
  • Explanation of the roles and functions of data models in SAP BW/4HANA and their classification in the context of the SAP reference architecture Layered Scalable Architecture (LSA++)
  • Explanation of native SAP HANA modelling and how both SAP HANA Calculation Views and SAP BW/4HANA objects can complement each other in so-called "Mixed Scenarios".
  • Explanation of multi-temperature data management concepts and their implementation in SAP BW/4HANA.
  • Introduction to the SAP Core Data Services and the associated use cases in the context of SAP BW/4HANA: Extraction from SAP S/4HANA including the available SAP Content, statistical analysis of the Data Warehouse Infrastructure and SAP S/4HANA Embedded Analytics

Reserve your place!

  • We also offer regular training in small groups.
  • Duration of the introductory training: 1 day
  • Duration of the advanced training: 1 day
  • We are an SAP training partner - so you will also receive a globally recognised certificate.
  • On site or online possible


CONTACT
Contact person for Datasphere trainings
Self-service BI: Image shows two people in front of a dashboard of the Data Warehouse Cloud

Who is the SAP training aimed at?

  • Application consultant
  • Application developer
  • Business analyst
  • BI / BW Consultant
  • Data scientist
  • Data consultant / manager
  • Database administrator
  • SAP HANA Project Manager
  • SAP HANA support staff
  • System architects
  • Solution architects
  • Technology consultant
  • Developer
  • Enterprise Architects

What are the prerequisites for SAP training?

  • For the training SAP BW/4HANA for beginners a basic understanding of business IT is required.
  • For the SAP courses for advanced learners in-depth expertise in at least one SAP Business Suite or SAP S/4HANA application training is required.
  • In individual SAP course also several years of practical experience in data modelling with SAP BW 7.x.
  • The respective requirements can be found directly in the selected training course.

When does the training take place?

Dhe T he dates for the upcoming training courses can be found on the training.sap.com page.

How much are the participation fees?

The participation fee depends on the seminar. Please ask for the price without obligation.
Our training courses are mainly offered in German. However, we can also offer the training in English or other languages upon request.

KNOWLEDGE

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