SAP BW/4HANA

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About Course

SAP BW & BW4HANA Content

  • SAP Introduction
  • ERP
  • System landscape
  • SAP Client & System connection details
  • OLAP vs OLTP
  • SAP Architecture
  • BI/BW Architecture
  • SAP naming convention
  • BI Data model overview
  • Source system details
    -SAP
    -Non SAP Source Systems
  • Application component
  • Master data
    -Attributes
    -Text data
    -Creation
    -Tables
    -Naming conventions
    -IO as info provider
    -Naming conventions
    -Hierarchy and creation -SIDs
  • Flat file data sources
    – File source system creation
    – Attributes data source creation
    – Text data source creation
    – Transaction data source
    – PSA data modifications
  • SAP data sources
  • Compounding InfoObject
  • Reference and template infoobject
  • Transformations & Rule types
  • Data Transfer Process
  • Harmonized infosource
  • Outbound infosource
  • Inbound infosource
  • Info cube
    – Star Schema
    – Extended star schema
    – Info Cube introduction
    – Info cubes types
    – Info cube creation
    – Info cube tables
    – Example for info cube functionality
    – Line item dimension
    – High cardinality
    – Performance tuning
    – Compression o With Zero Eliminator
    – Marker update o No-marker update
    – Aggregation
  • Data Store Object (DSO)
    – Types of DSO
    – SID generation
    – DSO Significance
    – Activation Queue
    – Active Data Table
    – Change Log
    – Basic example
    – DSO Creation
    – DSO tables
    – Difference between SDSO/WDSO/DDSO
  • Multi provider
    – Operation
  • Process chains
    – Structure
    – Use of Multiprovider
    – Introduction
    – 0Infoprovider
    – What is process chain
  • Infoset
    -Advantages
  • PC creation
    – Structure & Scope
    – Join types
    – General services
    – Use of Infoset
    – Load process & post processing
    – Data administration target
  • Virtual provider
    – Other BW process
    – Structure & Scope
    – Types o Process variant types
    – Use of virtual provider
    – Remote process chain
    – Meta Chains
  • BI Content
    – ECC
    – BW
  • Scheduling types
    – Grouping
    – Job monitoring, Batch monitoring o Installation
    – Event creation & Scheduling
    – Versions
    – Advantages
    – Error analysis
  • Open Hub destination (OHD)
    – Types Object collection
    – Example Workbench
  • PC Error handling
    – OHD Architecture
  • Transport
    – Logs
  • Analysis process design(APD)
    – Errors
    – Scenari
    – Data Sources
    – Transformations
    – Targets
    – Example
    – Meta data repository

ECC Content

  • ERP
    – Introduction To SAP
    – Enterprise Resource Planning (ERP)
    – ERP System
    – Modules can be found in any ERP system
    – ERP Software’s
  • Generic Extraction
    – Introduction to Generic Extraction
    – Types of Generic extractors
    – T codes & Table significance
    – Generic delta
    – Generic ds based on table
    – Generic ds based on view
    – Generic ds based on Infoset
  • Logistics
    – Introduction
    – SD business flow
    – Update modes
    – Update Methods
    – T Codes
    – Business Tables
    – Data source naming conventions
    – Standard Data sources examples
    – Setup tables
    – Deletion
    – Filling steps
  • MM
    – Introduction
    – Business flow
    – PO business flow
    – T codes
    – Functional tables
    – Standard data sources for inventory
  • FI
    – Introduction
    – Basic functional terms
    – T codes
    – Standard data sources
    – Important tables
  • COPA
    – Introduction
    – Tables
    – T code
    – Operating concern
    – COPA Characteristics
    – Cost Analysis components
    – COPA Data source creation
  • Internal Order (IO) profitability analysis
    – Introduction
    – Tables
    – T code
    – Generic data source
  • Vistex
    – Introduction
    – Basic functional terminology
    – Cockpit
    – Setup Details
    – Setup table standard programs
    – Some Standard data sources
  • Transport mechanism
    – Object collections
    -TR significance
  • SAP delivered objects
  • Jobs monitoring

BW/4HANA Content

  • HANA DB introduction
  • BW prospective
  • Introduction to BW on HANA & BW/4HANA
  • Basic migration process
  • Key features BW & BW/4HANA system
  • BW/4HANA Connectivity’s & Symbols
  • ODP source
    – ODP Source system introduction
    – ODP Source system
    – Delta Queue Monitoring screen
    – Example data source monitoring
    – ODQ Tables
    – Types of source systems
    – Advantages
  • Layered Scalable Architecture (LSA)
    – LSA layers
    – LSA ++ layers
    – Differences between LSA & LSA++
    – Basic data model example
  • Field based modeling
    – Fields
    – Info Objects (A,T,H) and Scope
  • HANA Optimized info cube
    – Extended star schema
    – Migrate IC to HANA IC
    – Partition & tables
  • Transient Provider
    – Introduction
    – Sources
    – Tcode & creation process
    – Analytical index preview & advantages
  • Open ODS view
    – Introduction
    – Sources
    – IO objects usage
    – Attributes usage
  • Advance data store object (ADSO)
    – Introduction
    – Sources
    – Persistent object is combination
    – Template Structure & functionality
    – Naming convention of Tables and Views
    – Adso templates
    – Difference between ADSO Vs DSO
    – Advantages
  • Composite Provider (CP)
    – Introduction
    – Sources
    – Basic scenario & example
    – Preview
    – External Hana views
    – Advantages
  • Basic differences for all advanced objects
  • External Hana views
  • Object collection
  • Transport mechanism

Reporting Content

  • Creation of query
  • Query execution
  • Calculated Key figure
  • Rows
  • Restricted Key figure
  • Columns
  • Structures
  • Single values
  • Constant selection with KF
  • Free characteristics
  • Constant selection with CHAR
  • Key
  • Currency conversion
  • Text
  • Unit conversion
  • Key & Text display
  • NODIM
  • Hierarchies
  • Formula Collision
  • Single values
  • Cell definitions
  • Include
  • Decimal places, scaling factor, sign change
  • Exclude
  • External access to other systems
  • Conditions
  • Differences b/w CKF vs RKF
  • Exceptions
  • Differences b/w Formula vs New section
  • Result suppressions
  • Differences b/w Conditions vs Exceptions
  • Variables
  • Differences b/w filters vs Default values
  • Selections
  • Differences b/w Structure vs cells
  • Types of variables
  • Report performance guidelines
  • Processing types
  • Object collection
  • Query as info provider
  • Transport mechanism
  • Ranges
  • Selection options
  • Selection options Mandatory
  • Select options mandatory with default value
  • Default value
  • New selections single value
  • New selections variable value
  • Jump query
  • Authorization
  • Formula
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What Will You Learn?

  • Introduction to SAP BW/4HANA: Understand the core concepts and architecture of SAP BW/4HANA, including its role in modern data warehousing and analytics.
  • Data Modeling Techniques: Gain insights into advanced data modeling concepts in SAP BW/4HANA, including star schema, data flow design, and the use of advanced modeling tools.
  • Data Integration Strategies: Learn how to efficiently integrate data from various sources, including SAP and non-SAP systems, using tools like SAP Data Services and Smart Data Integration.
  • Using SAP HANA for Data Warehousing: Explore the capabilities of SAP HANA as the underlying database for BW/4HANA, focusing on in-memory processing and performance optimization.
  • Reporting and Analytics: Discover how to create meaningful reports and dashboards using SAP Analytics Cloud and SAP BW/4HANA’s reporting capabilities to support data-driven decision-making.
  • Performance Optimization Techniques: Learn best practices for optimizing data models and queries to enhance the performance of BW/4HANA applications.
  • Administration and Monitoring: Understand how to administer and monitor your SAP BW/4HANA environment, including data loading, process chains, and system health checks.
  • Data Governance and Security: Explore data governance practices and security measures within SAP BW/4HANA to ensure data integrity and compliance.
  • Hands-On Projects: Engage in real-world projects and case studies to apply your knowledge and demonstrate your skills in SAP BW/4HANA implementation.
  • Preparing for SAP BW/4HANA Certification: Receive guidance and resources to prepare for SAP BW/4HANA certification exams, focusing on key areas tested in the certification process.
  • By the end of this course, you will have the expertise to effectively design, implement, and manage data warehousing solutions using SAP BW/4HANA, driving business intelligence and analytics initiatives within your organization.

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