SAP BODS Online Training:--
OverviewofDataServices:-
IntroductionofDataServicesArchitecture:
   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
PreparingtoInstallDataServicesClient/ServerComponents:-
Pre-installation overview
Installation scenarios
RepositoryCreation:-
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
LoggingintotheDesigner
Project area
 Tool palette
 Workspace.
 Local object library
 Object editors and Working with objects
 
AboutProjectsandJobs:-
Executing Jobs
 Overview of Data Services job execution
 Preparing for job execution
 Monitoring Jobs
DatastorecreationandOverview:-
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
ConfigureaJobServer? Changing Job Server options:-
        Configure an Access Server
         To configure Metadata Integrator
         To select a web application server
UsingtheServerManager:-
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
PublishingDataServices:-
Transformationsandusageindataservices:
Descriptions of transforms.
 Query transforms overview
 Data Quality transforms overview
 Lookup tables and the lookup_ext function
Dataflowexecution:-
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
WorkFlowsandwhatisaworkflow:-
How to Creating a work flows
 Steps in a work flow and Order of execution in work flows
Creatingreal-timejobs:-
Real-time source and target objects
 Testing real-time jobs
Overviewofvariablesandparameters:-
How to create Variables and Parameters.
 Using local variables and parameters and about global variables.
 Local and global variable rules.
Overviewofdataquality:-
Address Cleanse transformation overview
 Data Cleanse.
 Match
 Design and Debug
 Using View Data to determine data quality
 Using the Validation transform.
Understandingchanged-datacapture:-
Using CDC with Oracle sources
 Using CDC for targets/Sources
DataServicesManagementConsole: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
FunctionsandProceduresAboutfunctions
        Descriptions of built-in functions
RaisingExceptionsbyusingTry/catchblocks:-
Catch error functions and other function calls
 Nested try/catch blocks
 If statements to perform different actions for different exceptions
JobSchedulingusingscriptingandHowtouseScriptsinBODS:-
Data Services Scripting Language
 Python
 Python in Data Services
BatchJobs:-
Executing batch jobs, Scheduling jobs and Monitoring batch jobs
UsingtheDataProfiler:-
Defining the profiler repository
 Column level profiling
 Detail profiling
RecoveryMechanisms:-
Recovering from unsuccessful job execution
 Automatically recovering jobs
 Manually recovering jobs using status tables
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