SAP BODI Online Training
BO DI online training project examples will help you in gaining BO DI certifications & also in exploring functional or technical documentation. BO DI online training of LTSTrainings always strives to analyze the area of strengths of our learners & encourage them to excel at workplace or in the work of actual time project. Moreover, you could enhance your skills in the expertise through our well designed BO XI or SAP BODS online training material. We provide Online SAP BODI Training classes in Hyderabad India
SAP BO DI or SAP BODS is a Data integrating & ETL gizmo used to build Data marts, Data warehouse & ODS Systems. SAP BO DI has becoming an increasing demand expertise in the market & the industry as well. In case you are looking out to be a SAP BODS professional, then LTSTrainings will be your path finder for you in heading towards your aim. Our BO DI online training will fulfill your dream at your convenience & timeline. BO DI online training is provided by our experienced world class SAP BODS online trainers who will be available for you all time with actual time project examples. LTS Trainings is providing Best Online SAP BODI Training for corporates and Individuals.
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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