Course in SAPBW

VS INFOSOFT INDIA (P) LIMITED
Online

Price on request
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Important information

  • Course
  • Online
  • Secunderabad
  • 30 hours of study
Description

Important information
Venues

Where and when

Starts Location
On request
Secunderabad
VS INFOSOFT INDIA (P) LIMITED #401, ARCHANA ARCADE, BEHIND RAMAKRISHNA HOTEL, OPP-RAILWAY RESERVATION COMPLEX,, Andhra Pradesh, India
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Course programme

Introduction to Data Warehousing
Multidimensional Modeling
BW Architecture
Extended Star Schema
Introduction to BW Objects and Administrative Work Bench
Introduction to Characteristics and Key Figures
Texts Attributes Hierarchies for Master Data
Data Flow in BW( Info sources/Data Source)
Introduction to different Info Providers ( Cubes/ODS etc)
Loading Data to a Data Target through flat files
Meta data repository.
Week 2
Extraction of data from R/3 system
Concept of Delta Queue
Introduction to different Delta Types in R/3
Debugging Extraction and Concept of Data Source in R.3
Extraction using Generic Extraction (Table/View/Info set/ FM)
Extraction from FI(GL/AP)
Extraction of COPA Data
Logistics Data Extraction (SD/MM)
Extraction Performance Tuning Techniques
BW Customization
Week 3
Introduction to Business Explorer
Understanding Bex Browser, Bex Query Designer, Bex Web Application Server
Advance Reporting/Web Reporting Techniques
Introduction to Reporting Agent (Precalculation)
Overview of Reporting Authorization Objects and their Usage in Security
Performance Techniques for queries by using Aggregates. OLAP cache
Debugging queries using RSRT Tcode
Open HUB
Week 4
Introduction to Multi providers , Info set and Master Data Reporting
Introduction to Process Chains for optimal data load scheduling
Overview and Introduction of Metadata Repository
Business Content usage and Object Version
Introduction to the concept of delta for data loading process
Transport Methodology
Performance tuning( Aggregates , Compression etc)
Real time scenarios.
At the end of the course you will get good expertise in below areas:
Data modeling.
Extraction techniques and creating data targets.
BEx reporting
Data scheduling with Process chains
Performance tuning