Sap bodi bods online training course


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Sap bodi bods online training course

  1. 1. SAP Business Objects Data Integration / Data Services Online Training CourseSAP DATA SERVICES 12.2.1/BODIOverview of Data ServicesIntroduction 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 MARTSPreparing to Install Data Services Client /Server Components● Pre-installation overview● Installation scenariosRepository 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
  2. 2. Logging into the Designer● Project area● Tool palette● Workspace.● Local object library● Object editors and Working with objectsAbout Projects and Jobs● Executing Jobs● Overview of Data Services job execution● Preparing for job execution● Monitoring JobsDatastore 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 formatsConfigure a Job Server● Changing Job Server options● Configure an Access Server● To configure Metadata Integrator● To select a web application serverUsing 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
  3. 3. Publishing Data ServicesTransformations and usage in data services● Descriptions of transforms.● Query transforms overview● Data Quality transforms overview● Lookup tables and the lookup_ext functionData 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 flowsWork Flows and what is a work flow●How to Creating a work flows● Steps in a work flow and Order of execution in work flowsCreating real-time jobs●Real-time source and target objects● Testing real-time jobsOverview 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
  4. 4. ● 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/SourcesData 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 servicesFunctions and Procedures About functions● Descriptions of built-in functionsRaising Exceptions by usingTry/catch blocks● Catch error functions and other function calls● Nested try/catch blocks● If statements to perform different actions for different exceptionsJob Scheduling using scripting and How to use Scripts in BODS
  5. 5. ● Data Services Scripting Language● Python● Python in Data ServicesBatch Jobs● Executing batch jobs, Scheduling jobs and Monitoring batch jobsUsing the Data Profiler● Defining the profiler repository● Column level profiling● Detail profilingRecovery Mechanisms● Recovering from unsuccessful job execution● Automatically recovering jobs● Manually recovering jobs using status tables