SAP Business Objects with Data Services


We at IT folks@US value career development. It’s for this reason that we offer a number of different training courses across technologies such as Application development, Datawarehousing, ERP, Infrastructure Management, Mobile, Could, Project Management and QA.

Course Content

Overview of Data Services
Introduction of Data Services Architecture
  • Data Services Designer
  • Data Services repository
  • Data Services Job Server
  • Data Services engine
  • Data Services Access Server
  • Data Services Address Server
  • Data Services Administrator
  • Data Services Metadata Reports applications Overview
  • Data Services Service
  • Data Services SAP RAPID MARTS Overview

Preparing to Install Data Services Client /Server Components

  • Pre-installation overview
  • Installation scenarios
  • Repository Creation
  • Repository database requirements and preparation
  • Creating a Data Services repository and Selecting a repository
  • Central versus local repository creation with live examples

Using the Repository Manager.
Multi-user Environment Setup
Activating a central repository
Implementing Central Repository Security
Data Services and multiple users
Security and the central repository
Version Checking.
Adding objects to the central repository Checking out
Logging into the Designer

  • Project area
  • Tool palette
  • Workspace.
  • Local object library
  • Object editors and Working with objects
  • About Projects and Jobs
  • Executing Jobs
  • Overview of Data Services job execution
  • Preparing for job execution
  • Monitoring Jobs

Datastore creation and Overview

  • Datastores and Data Flows ı What is a data flow.
  • Datastore and system configurations

Multi-user Development

  • Creating and managing multiple datastore configurations
  • File Formats and what are file formats?
  • File format editor ,Creating file formats and Editing file formats

Configure a Job Server
Changing Job Server options
Transformations and usage in data services

  • Descriptions of transforms.
  • Query transforms overview
  • Data Quality transforms overview
  • Lookup tables and the lookup_ext function

Data flow execution

  • Creating and defining data flows
  • Calling data flows to perform data movement operations
  • Defining the conditions appropriate to run data flows
  • Pass parameters to and from data flows
  • Work Flows and what is a work flow
  • How to Creating a work flows
  • Steps in a work flow and Order of execution in work flows

Creating real-time jobs

  • Real-time source and target objects
  • Testing real-time jobs
  • Overview of variables and parameters
  • How to create Variables and Parameters.
  • Using local variables and parameters and about global variables.
  • Local and global variable rules.

Overview of data quality

  • Address Cleanse transformation overview
  • Data Cleanse.
  • Match
  • Design and Debug
  • Using View Data to determine data quality
  • Using the Validation transform.
  • Understanding changed-data capture
  • Using CDC with Oracle sources
  • Using CDC for targets/Sources

Data Services Management Console: Administrator Overview

  • Scheduling, monitoring, and executing batch jobs
  • Connecting repositories to the Administrator
  • Configuring, starting, and stopping real-time services
  • Configuring Job Server, Access Server, and repository usage
  • Configuring and managing adapters
  • Managing users

Publishing batch jobs and real-time services via Web services

  • Functions and ProceduresAbout functions
  • Descriptions of built-in functions
  • Raising Exceptions by usingTry/catch blocks
  • Catch error functions and other function calls
  • Nested try/catch blocks
  • If statements to perform different actions for different exceptions

Job Scheduling using scripting and How to use Scripts in BODS

  • Data Services Scripting Language
  • Python
  • Python in Data Services
  • Batch Jobs
  • Executing batch jobs, Scheduling jobs and Monitoring batch jobs
  • Using the Data Profiler
  • Defining the profiler repository
  • Column level profiling
  • Detail profiling

Recovery Mechanisms.
Recovering from unsuccessful job execution
Automatically recovering jobs
Manually recovering jobs using status tables

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Courses Highlights

  • Virtual classroom training via state of art online collaboration tools with sharing of all the presentations, demonstrations over real time systems.
  • Video files of the tool navigations taught during the sessions shall be shared with you post every session.
  • assignments to help you get hands on experience to handle such requirements in future. Real time case studies along with assignments shall be part of the courses.
  • In addition to the training videos, material required to prepare for certification shall be provided. An expert guidance for people interested in certification on any particular technology.
  • Career oriented assistance shall be offered to interested subscribers as part of the same course track.
  • Interview assistance and On job support shall be offered to all on demand, after successful completion of training


Good for people even if not from the Data Warehousing background. Thanks to the trainer who made my job easy. An experienced trainer.
Ravikanth, Springfield
Amount of time spent on training seems good, you have been very flexible in repeating the topics, not understood earlier. Thanks once again.
Sandeep, Berkeley
Training was fruitful, my experience as BI consultant further helped me to grab the contents better. Over all I feel your training is satisfactory.
Soumya, Washington