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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