SAP BW/BI TRAINING IN PUNE | ONLINE

Duration of Training  :  40 hrs

Batch type  :  Weekdays/Weekends

Mode of Training  :  Classroom/Online/Corporate Training

SAP BW/BI Training & Certification in Pune

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COURSE CONTENT :

The SAP BW/BI (Business Warehouse/Business Intelligence) training syllabus covers the essential components required for understanding data warehousing, modeling, extraction, transformation, and reporting in SAP BW. This course typically starts with the foundational aspects and progresses toward advanced BI techniques, reporting, and integration.

Here’s a detailed SAP BW/BI training syllabus covering basic to advanced topics:

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).

Learn SAP BW/BI – Course in Pune with Training, Certification & Guaranteed Job Placement Assistance!

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