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SAP Business Objects Data Services Online Training
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SAP BODS (Business Objects Data Services) Online Training

SAP DATA SERVICES 12.2.1/BODI ONLINE TRAINING Data Services Training Manual-60 hrs Duration 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

  • SAP BODS CONTENT 

    Services engine - Data Services Access Server - Data Services Address Server - Data Services Administrator - Data Services Metadata Reports applications - Data Services

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 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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