You will learn how to use the IBM InfoSphere suite to analyze data and report results to business users. Information discovered during analysis will be used to construct data rules. This course will also explore techniques for delivering data analysis results to ETL developers and show how to develop more meaningful meta data to reflect data discovery results. An information analysis methodology and a case study will be used to guide hands-on labs. This course introduces the concepts and methods used to perform information analysis. IBM InfoSphere Information Analyzer, Business Glossary, and QualityStage will be used to perform data profiling,data assessment and meta data enrichment tasks.


  • Analyze data structures to determine agreement with Configure Information Analyzer
  • documented metadata
  • Administer the Information Analyzer environment
  • Discover data anomalies
  • Understand security considerations around data analysis
  • Identify invalid and incomplete data values
  • Understand the methodology supporting data analysis
  • Determine potential primary keys to table structures
  • Use Information Analyzer to analyze data content and structure
  • Add business meaning to data
  • Use Information Analyzer to construct data rules and utilize
  • Produce deliverables that can be used by business users and IBM-supplied data rule templates
  • ETL developers

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