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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
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