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IBM InfoSphere Information Analysis 9.1 (KM802G)

Course Description Schedule Course Outline
 

Who should attend

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.

Prerequisites

You should have:

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

Data modeling experience is helpful.

Course Objectives

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 Content

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.

Classroom Training
Modality: C

Duration 4 days

Price (excl. tax)
  • Germany: 2,190.- €
incl. catering
Catering includes:

  • Coffee, Tea, Juice, Water, Soft drinks
  • Pastry and Sweets
  • Fresh fruits
  • Lunch in a nearby restaurant

* Catering information only valid for courses delivered by Fast Lane.


Digital courseware Dates and Booking
 
Schedule

Currently there are no training dates scheduled for this course.  Enquire a date