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SAP BODS (Business Objects DataServices)

SAP BODS Online Course Content: The SAP BusinessObjects Data services application can help by delivering a single enterprise-class solution for data integration, data quality, data profiling, and text analysis that allows you to integrate, transform, improve, and deliver trusted data that supports critical business processes and enables sound decisions.
SAP BusinessObjects Data Services combines industry-leading data quality and integration into one platform. With Data Services, your organization can transform and improve data anywhere. You can have a single environment for development, runtime, management, security and data connectivity.
Course Details

DW Concepts

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

ETL Overview

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

Business Objects Overview

  • History
  • Components
  • Architecture

Data Services

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

Data Services Objects

  • Object Hierarchy
  • Jobs
  • Workflows
  • Data Flows

Source and Target Metadata

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

Environment setup

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

Batch Jobs

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

Troubleshooting Jobs

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

Functions, Scripts and Variables

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

Important Transforms

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

Other Transforms

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

Error Handling

  • Error Handling
  • Recoverable work flows

Change Data Capture

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

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 Integration

  • Real Time Jobs
  • SOAP Introduction
  • Web Services

SAP Integration

  • Creating datastores for SAP databases
  • Accessing SAP data
  • Data extraction from ECC system to File, Table and SAP BI
  • Data extraction from ECC Extractors
  • Data Extraction from SAP BW
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