Course announcements

  • DS50 gives you the understanding and skills to use Information Steward to ensure ongoing master data quality. It will also give the more advanced user the understanding and skills to not only perform basic data profiling, but also to build sophisticated validation and cleansing rules and packages based on profiling results to maintain high levels of ongoing data quality. Users will explore the lineage of data used across systems while at the same time be able to design and maintain a global company business glossary.

Goals

  • SAP Information Steward Overview
    • Identifying Information Steward Advantages and Components
  • Data Profiling
    • Managing Tables, Flat Files, and Information Steward Views
    • Performing Basic (Column) Profiling
    • Performing Data Profiling Using Advanced Profile Types
    • Applying Validation Rules
    • Creating Data Quality Scorecards
  • Metadata Relationship Integration Across Enterprise Systems
    • Integrating Metadata Relationships Across Enterprise Systems
  • Definition of Business Terms with Metapedia
    • Defining Business Terms with Metapedia
  • Data Cleansing
    • Defining the Cleansing Package Builder
    • Configuring Cleansing Packages
    • Creating Cleansing Packages in Design Mode
    • Creating Context and Category Definitions in Cleansing Packages
    • Publishing Cleansing Packages in Advanced Mode

Audience

  • Application Consultant
  • Business Analyst
  • Data Consultant / Manager
  • User

Prerequisites

Essential

  • Basic knowledge of data quality management and metadata management concepts

Recommended

  • DS10 Data Services: Platform and Transforms
  • DS30 Data Services – Data Quality Management

Course based on software release

  • Information Steward 4.2 SP8

Content

  • SAP Information Steward Overview
    • Identifying Information Steward Advantages and Components
  • Data Profiling
    • Managing Tables, Flat Files, and Information Steward Views
    • Performing Basic (Column) Profiling
    • Performing Data Profiling Using Advanced Profile Types
    • Applying Validation Rules
    • Creating Data Quality Scorecards
  • Metadata Relationship Integration Across Enterprise Systems
    • Integrating Metadata Relationships Across Enterprise Systems
  • Definition of Business Terms with Metapedia
    • Defining Business Terms with Metapedia
  • Data Cleansing
    • Defining the Cleansing Package Builder
    • Configuring Cleansing Packages
    • Creating Cleansing Packages in Design Mode
    • Creating Context and Category Definitions in Cleansing Packages
    • Publishing Cleansing Packages in Advanced Mode