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September 10th, 2013:

SAP BODI Online Training

SAP BODI Online Training

Contact:8008002022

Mr Praveen Kumar

• 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

 

SAP BODI Online Training

SAP BODI Online Training

Contact:8008002022