Training-SAP-BODS

  • Introduction to BODS
    • Introduction to Data Services – history
    • What is ETL and various ETL tools
    • Competitive advantage of BODS
    • Data Services components and architecture
  • Data Services fundamentals
    • Data Services Architecture
    • Designer, Management Console, Repository, Job server
    • Concepts of Job, Workflow and Data Flow
    • Concepts of Datastore
    • Creating basic Batch Job
    • Transforms overview
  • Database Connectivity
    • Data Store Fundamental
    • Types of Datastore – Database, SAP ECC etc
  • Transformation Types
    • Query Transform
    • CASE Transform
    • MAP Transform
    • Working with hierarchical data
    • Hierarchy Flattening transform
    • Merging data
    • Table Comparison transform
    • Other ways of merging data for RDBMS datastores
    • Slowly changing dimension Types and SCD support in BODS
    • History preserving transform
    • Using built-in functions
  • File processing
    • Defining file formats for file data source
    • Working with XML files(XSD,DTD)
    • File Formats as Source and as Targets
  • Data Profiling
    • What is data profiling?
    • Column Analysis
    • Basic Profiling − Includes information like min, max, avg, etc.
    • Detailed Profiling − Includes information like distinct count, distinct percent, median, etc.
    • Relationship Analysis − Data anomalies between two columns for which you define a relationship.
  • BODS Scripting Language
    • Variables in BODS – Scope of variable
    • Scripting language – Advantages and limitations
    • Custom functions in BODS
    • Creating simple function
    • Custom functions vs. database functions
  • Error Handling in BODS
    • Validating Data Flow, Workflow, Job
    • Error handling on Workflow level – Try and Catch objects
    • Analyzing execution of Batch Job – Log files
    • Debugging in BODS
    • Handing execution errors – best practices
  • Data Service Development
    • Local and Central repositories
    • Working in a group
    • Propagating Job from development to staging and production environment – best practices
    • Backing up metadata
    • ATL file. Export\Import operations
  • SAP Information Steward
    • SAP Information Steward Overview & Highlights
    • Information Steward Architecture, Installation, and Deployment
    • Validation Rules (Create, bind, execute rules, view rule results)
    • DQ Scorecard (Create, bind, execute rules, view scorecard)
    • Creating Information Steward Views and Working with File Formats
    • Metadata management and Metapedia