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SAP BW/4HANA - Modeling

( Duration: 5 Days )

In SAP BW/4HANA - Modeling training course, you will learn to design BW/4HANA data models based on the LSA++ layered scalable architecture model and using SAP BW/4HANA and SAP HANA modeling objects. Focus topics are master data (especially time-dependency and hierarchies), Open ODS Views, different types of Advanced DataStore Objects, and different Composite Provider scenarios, staging scenarios with InfoSources, currency and unit conversion, and hybrid models with SAP HANA Calculation views.

By attending SAP BW/4HANA - Modeling workshop, delegates will learn:

  • Outlining advantages of the new SAP "In-Memory" database foundation for SAP BW in general.
  • Understanding modeling requirements and comparing modeling approaches
  • Discussing Best Practices guidelines such as LSA++ and separating master and transactional data.
  • Describing steps in developing an SAP BW/4HANA data model.
  • Applying SAP Business Content.
  • Using the power of SAP BW/4HANA modeling artifacts.
  • Leveraging the advantages of field-based modeling.
  • Creating and using hierarchies with SAP BW/4HANA InfoObjects or with native SAP HANA Calculation Views.
  • Harmonizing transactional data from different source systems.
  • Implementing Currency and Unit Conversion with SAP BW/4HANA or with native SAP HANA Calculation Views.
  • Generating external HANA views and understanding "Mixed Scenarios".
  • Creating and using an SAP HANA Analysis Process.
  • Outlining Inventory Management and Stock coverage scenarios

  • Attend a training on SAP BW powered by SAP HANA - Enterprise Data Warehousing or equivalent practical knowledge.
  • Hands-on experience in data warehousing with SAP BW/4HANA

This SAP BW/4HANA - Modeling class is ideal for:

  • Application Consultants
  • Business Analysts
  • Technology Consultants
  • Architects

COURSE AGENDA

1

Introduction to Data Modelling, Challenges, Conflicts

2

Comparing Modeling approaches

  • SAP HANA modeling
  • SAP BW/4HANA modeling
  • Mixed strategies
3

Good Practice Standards in BW/4HANA Modeling

  • Understanding Object Changeability
  • Separating Master Data and Transactional Data
  • Using Time-Dependent Master Data, Tracking History
  • Harmonizing Data
  • Designing a BW/4HANA Layered Scalable Architecture (LSA++)
  • Understanding Physical and Logical Partitioning
4

Process of Modeling

  • Defining the Sequence and Phases of SAP BW Projects
  • Developing an SAP BW/4HANA Data Model
5

SAP BW/4HANA Content Add-On

  • Working with SAP Business Content
  • Introducing ABAP CDS Views provided by SAP BW/4HANA
6

Implementing SAP BW/4HANA Field-Based Models

  • Implementing Field-Based Modeling with Open ODS Views
  • Understanding Snapshot and Corporate Memory Models
7

Implementing Models in SAP BW/4HANA

  • Modeling and Implementing SAP BW/4HANA Master Data
  • Modeling and Implementing Advanced DataStore Objects (ADSOs)
  • Modeling and Implementing InfoSources and Transformations
  • Modeling and Implementing Composite Providers
8

Implementing Native SAP HANA Views

  • Modeling Master Data in SAP HANA Views
  • Modeling Transactional Data in SAP HANA Views
9

Implementing Agile Data Marts

  • Generating External SAP HANA Views for SAP BW/4HANA Objects
  • Implementing Mixed Scenarios
10

Additional Modeling aspects in SAP BW/4HANA

  • Introducing the HANA Analysis Process (HAP)
  • Defining Inventory Scenarios
  • Defining Stock Coverage Scenarios

Encarta Labs Advantage

  • One Stop Corporate Training Solution Providers for over 6,000 various courses on a variety of subjects
  • All courses are delivered by Industry Veterans
  • Get jumpstarted from newbie to production ready in a matter of few days
  • Trained more than 50,000 Corporate executives across the Globe
  • All our trainings are conducted in workshop mode with more focus on hands-on sessions

View our other course offerings by visiting https://www.encartalabs.com/course-catalogue-all.php

Contact us for delivering this course as a public/open-house workshop/online training for a group of 10+ candidates.

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