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SAP BO-Data Services
Data Services Training on a real time scenario and Installation
Data services Fundamentals
Purpose of DS
Basics and understandings
Connecting to the external systems
Storing the data in the local repository
Dataservices Design Interface
Importing Metadata
File Format
Batch Job
Data Flow
Query transform
Executing job
Built in Transformations
Platform Transformations
Case Transformation
Map Operation Transformation
Merge Transformation
Query Transformation
Row Generation Transformation
SQL Transformation
Validation Transformation
Integrator Transformations
Data Transfer Transformation
Data Generation Transformation
Effective Date Transformation
Hierarchy Flattering Transformation
History Preserving Transformation
Table comparison Transformation
Pivot & Reverse Pivot Transformations
Key Generation Transformation
XML Pipeline Transformation
Data Quality Transformations
Match Transformation
Best record Strategy
Built in Functions
All built in system functions
Validating. Tracing and Debugging Batch job
Built in Transformations (Platform, Data Integrator, Data Quality)
Capturing changes in data (Initial / Deltaload)
Handling Errors and auditing
Migrating Projects
Managing Metadata
Connecting to SAP Applications
ABAP data Flow processing Using Dataservices
IDoc interface connectivity Using Dataservices
SAP Application table source in real jobs using Dataservices
Executing Batch jobs that contain ABAP Dataflows
Connecting to SAP Net weaver Business warehouse
Using Dataservices in SAP NW BW environments
Defining SAP Net Weaver BW Datastores Using Dataservices
Loading into SAP NW BW Using Dataservices
Profiling Using Data Insight
SAP BO-Data Federator:-
Creating target tables
Defining Sources of data
Mapping data sources to targets
Managing Constraints
Managing Projects
Managing Changes
Real Time Jobs
Introduction to Real time Jobs
Manipulating the XML Doc using BODS
Testing the Real time Jobs
Executing the Real time Jobs
Creating the WSDL as an output
Invoking and provoking a WSDL using BODS
SAP AIO Methodology for DS (Version 3.0/3.2)
Versions of AIO
Different Output formats of AIO
Project End – End
Building the project
AIO-Mapping sheets
Using / Customizing the Standard AIO templates
Extracting and scoping the data
Using SQL as Database repository
Building the job
Managing and scheduling the jobs
Lookup jobs and requirement
Various errors you encounter
XML/IDOC/LSMW output formats.
Troubleshooting project
Project Maintenance


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