Radical Technologies

The Syllabus

Curriculum Designed by Experts

Module 1: Introduction to Data Warehousing and SAP BW

Introduction to Data Warehousing Concepts

  • What is Data Warehousing?
  • Differences between OLAP and OLTP
  • Importance of Business Intelligence
  • Overview of Data Modeling, ETL, and Reporting

Introduction to SAP BW

  • Understanding SAP BW/BI Architecture
  • Role of BW in SAP Business Suite
  • SAP BW Components Overview (InfoObjects, InfoProviders, DataSources)
  • Key SAP BW Terminologies
Module 2: Data Modeling in SAP BW

Overview of Data Modeling in BW

  • Concepts of Data Warehousing and Data Modeling
  • Key Components: InfoObjects, InfoProviders, DSO (DataStore Object), InfoCubes

InfoObjects

  • Characteristics and Key Figures
  • Attributes, Texts, and Hierarchies
  • Creating and Managing InfoObjects

InfoProviders

  • Types of InfoProviders (Standard, MultiProvider, InfoSet, CompositeProvider)
  • Working with InfoCubes (Standard, Virtual, Real-Time)
  • DSOs (Standard, Write-Optimized, Direct-Update)
  • Advanced DSO (aDSO) and its Significance in BW on HANA

MultiProviders and CompositeProviders

  • Overview of Logical Data Providers
  • Combining Data from Multiple Sources
Module 3: ETL (Extraction, Transformation, Loading) Process

Understanding the ETL Process

  • Data Extraction: Sources and Methods
  • Transformation Rules in SAP BW
  • Data Loading and Monitoring

Data Extraction

  • SAP Source Systems: ECC, CRM, etc.
  • Non-SAP Source Systems: Flat Files, Database Connections
  • Extractors and DataSources

Transformation and Data Loading

  • Creating Transformations and Data Transfer Processes (DTPs)
  • Mapping Source Fields to Target Fields
  • Loading Data Using Process Chains

Data Management and Housekeeping

  • Managing PSA (Persistent Staging Area)
  • Data Archiving in SAP BW
  • Housekeeping Tasks (Managing Data Load Errors, Deleting PSA Data)
Module 4: SAP BW Reporting and Analysis

Introduction to SAP BW Reporting

  • Reporting Tools Overview: BEx Analyzer, Query Designer, Web Application Designer
  • Key Reporting Components: Queries, Key Figures, Variables, Structures
  • Creating Queries with BEx Query Designer
  • Creating Basic Queries
  • Filters, Variables, and Conditions in Queries
  • Calculated and Restricted Key Figures

Advanced Query Techniques

  • Working with Free Characteristics, Restricted Key Figures, and CKFs
  • Building Complex Reports Using BEx Query Designer
  • Report-to-Report Interface (RRI)

BEx Analyzer and Web Reports

  • Using BEx Analyzer for Excel-Based Reporting
  • Web Application Designer for Web-Based Reporting
  • Creating Dashboards in SAP BW (BW Workspace Designer)
Module 5: Advanced Data Warehousing in SAP BW

Performance Optimization in SAP BW

  • Indexing and Aggregates
  • Partitioning InfoProviders
  • Data Compression Techniques

Process Chains and Automation

  • Creating and Managing Process Chains
  • Automating Data Loading and Monitoring
  • Handling Process Chain Failures and Debugging

Open ODS Views and Smart Data Access (SDA)

  • Using Open ODS Views for External Data Integration
  • Introduction to Smart Data Access for Real-Time Reporting
Module 6: SAP BW on HANA

Introduction to SAP BW on HANA

  • Difference Between Traditional SAP BW and BW on HANA
  • Benefits of BW on HANA (In-Memory Processing, Improved Performance)
  • Understanding the Role of SAP HANA in Data Warehousing
  • Advanced Data Modeling with HANA
  • Creating and Managing Advanced DSOs (aDSOs)
  • Working with CompositeProviders
  • Virtual InfoProviders and Hybrid Providers in BW on HANA

HANA-Optimized Data Flows

  • Understanding HANA-Optimized InfoCubes and DSOs
  • Migrating Existing BW Models to HANA-Optimized Objects
Module 7: SAP BW Integrated Planning

Introduction to Integrated Planning

  • Overview of SAP BW-IP (Integrated Planning)
  • Planning Scenarios in SAP BW
  • Real-Time InfoCubes for Planning

Planning Functions and Sequences

  • Creating and Managing Planning Functions (Copy, Revaluation, Allocation)
  • Using Planning Sequences for Automation

BI Integrated Planning with BEx

  • Implementing Planning Models with BEx Analyzer
  • Integrating Planning and Reporting
Module 8: SAP BusinessObjects (BO) Integration with SAP BW

Overview of SAP BusinessObjects

  • Key Components: Web Intelligence (WebI), Crystal Reports, Dashboards, Analysis for OLAP
  • Integration Scenarios between SAP BW and BO

Using SAP BO for Reporting

  • Connecting SAP BW with SAP BusinessObjects
  • Creating Reports Using Web Intelligence (WebI)
  • Building Dashboards Using BO Dashboards (Xcelsius)
  • Creating Crystal Reports on SAP BW Data

SAP Analysis for Office (AO)

  • Using SAP Analysis for Microsoft Office for BW Reporting
  • Integrating Excel with SAP BW
Module 9: Data Provisioning and Real-Time Data

Real-Time Data Provisioning

  • Real-Time Reporting and Data Warehousing in BW
  • Using ODP (Operational Data Provisioning) Framework
  • Introduction to Smart Data Integration (SDI) and Smart Data Access (SDA)

SAP BW and SAP HANA Live

  • Introduction to HANA Live for Real-Time Analytics
  • Using Virtual Data Models (VDM) for Reporting
Module 10: Administration and Performance Tuning in SAP BW

SAP BW Administration

  • Monitoring and Managing Data Loads
  • BW Administration Cockpit and Reporting

Data Load Monitoring and Error Handling

Performance Tuning Techniques

  • Managing Aggregates and Indexes
  • Compression and Partitioning Strategies
  • Analyzing and Optimizing Query Performance
  • Using BW Statistics for Performance Analysis
Module 11: Hands-On Project Work and Case Studies

Capstone Project

  • Designing and Implementing a Data Warehouse in SAP BW
  • Creating Data Models, ETL, and Reporting Solutions
  • Loading Data from SAP and Non-SAP Systems
  • Creating Reports, Dashboards, and Queries for Business Users

Case Studies

  • Real-World Use Cases in Different Industries (Retail, Manufacturing, Finance)
  • Optimizing Data Flow in a BW Environment
  • Implementing Advanced Analytics in SAP BW

Prerequisites:

  • Basic understanding of SAP ERP and its modules.
  • Knowledge of databases and SQL queries (helpful but not mandatory).

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