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IBM InfoSphere Information Analysis 9.1

  • Course Code KM802G
  • Duration 4 days

Additional Payment Options

  • GTC 28

    GTC, Global Knowledge Training Credit, please contact Global Knowledge for more details

Public Classroom

Public Classroom Price

eur2,595.00

Request Group Training Add to Cart

Course Delivery

This course is available in the following formats:

  • Company Event

    Event at company

  • Elearning (Self-paced)

    Self paced electronic learning

  • Public Classroom

    Traditional Classroom Learning

  • Virtual Learning

    Learning that is virtual

Request this course in a different delivery format.

Course Overview

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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.

Course Schedule

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Target Audience

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This basic course is for business data analysts who want to profile and assess data using Information Analyzer, also data quality analysts who need to measure data quality.

Course Objectives

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

Course Content

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  • Information Analysis concepts
  • Information Server overview
  • Information Analyzer overview
  • Information Analyzer Setup
  • Column analysis
    • Concepts
    • Basic data profiling techniques in practice
  • Primary key analysis
    • Concepts
    • Basic data profiling techniques in practice
  • Foreign key and cross domain analysis
    • Concepts
    • Basic data profiling techniques in practice
  • Baseline analysis
  • Reporting and publishing
  • Extending the meta data using Business Glossary and Information Analyzer
  • Information Analyzer Data Rules and Metrics
  • Data quality assessment using QualityStage

Course Prerequisites

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You should have:

  • Familiarity with Open Database Connectivity (ODBC) and relational database access techniques

Data modeling experience is helpful.