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SAP BODI Online Training

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SAP BODI Online Training:
• 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

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