SAP Business Objects Data Integration / Data Services Online Training Course

SAP DATA SERVICES 12.2.1/BODI

Overview of Data ServicesIntroduction 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● Data Services Service● Data Services SNMP Agent● Data Services Adapter SDK● Data Services SAP RAPID MARTS

 

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 — 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● Configure an Access Server● To configure Metadata Integrator● To select a web application server

 

Using the Server Manager

● Performing a scripted installation● Logging in to the Management Console● Connecting the Data Profiler● Troubleshooting installation problems● Running Data Services components in multi-user mode

 

Publishing Data Services

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

● 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 Procedures About 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