SAP BODS Online Training

SAP BODS Online Training

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    SAP BODS Course Content :

    1. DW Concepts

    • Definition
    • Methodologies
    • Dimensional Modeling
    • DW Lifecycle
    • DW Challenges

    2. ETL Overview

    • ETL introduction
    • Staging Area
    • Business Rules
    • Performance
    • Slowly Changing Dimensions
    • Surrogate Keys
    • Facts and Dimension Tables
    • Different ETL Tools

    3. Business Objects Overview

    • History
    • Components
    • Architecture

    4. Data Services

    • Purpose of Data Services
    • Data Services architecture
    • Define Data Services objectsData Services Designer interface

    5. Data Services Objects

    • Object Hierarchy
    • Workflows
    • Data Flows

    6. Source and Target Metadata

    • Data Stores
    • File formats for flat files
    • File formats for Excel files
    • File formats for XML files
    • Lab Exercises

    7. Environment setup

    • Creating repository
    • Setting Job Server
    • Setup for realtime operation
    • Setting multiple datastores
    • Starting Job servers
    • Lab Exercises

    8. Batch Jobs

    • Work with objects
    • Create a data flow
    • Use the Query transform
    • Use target tables
    • Execute the job
    • Lab Exercises

    9. Troubleshooting Jobs

    • Use descriptions and annotations
    • Validate and tracing jobs
    • Use View Data and the Interactive Debugger
    • Use auditing in data flows
    • Lab Exercises

    10.Functions, Scripts and Variables

    • Define built-in functions
    • Functions in expressions
    • Lookup functionDecode function
    • Variables and parameters
    • Data Services scripting language
    • Scripting custom functions
    • Lab Exercises

    11. Important Transforms

    • Map Operation transform
    • Validation transform
    • Merge transform
    • Case transform
    • SQL transform
    • Lab Exercises

    12. Other Transforms

    • Pivot transform
    • Hierarchy Flattening transform
    • Data Transfer transform
    • XML Pipeline transform
    • Lab Exercises

    13. Error Handling

    • Error Handling
    • Recoverable work flows

    14. Change Data Capture

    • Update data over time
    • Database native CDC mechanisms
    • Source-based CDC
    • Target Comparison
    • Lab Exercises

    15. Data quality Overview

    • Fundamentals of DQ and Data Cleansing
    • Built in DQ Transformations
    • Data Validation
    • Name & Address cleansing
    • De duplication
    • Cleansing other data
    • Lab Exercises
    • Web-Services and Real-Time IntegrationReal Time Jobs
    • SOAP Introduction
    • Web Services

    16. SAP Integration

    • Creating datastores for SAP databases
    • Accessing SAP data
    • Running ABAP programs
    • R/3 Data flows

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