IBM Information Analyzer Essentials v 11.5 - SPVC

Arrow ECS Training

Course

In London

Price on request

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Description

  • Type

    Course

  • Location

    London

  • Duration

    4 Days

  • Start date

    Different dates available

In this course, 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 demonstrate 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 exercises.

Facilities

Location

Start date

London
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Arrow Ecs Training, 56433

Start date

Different dates availableEnrolment now open

About this course



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


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.

You should have:


Data modeling experience helpful
Familiarity with Open Database Connectivity (ODBC) and relational database access techniques

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Course programme

  • Information Analysis concepts
  • Information Server overview
  • Information Analyzer overview
  • Information Analyzer Setup
  • Column analysis
  • Concepts
  • Basic data profiling techniques in practice
  • Data profiling techniques
  • 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 Information Governance Catalog and Information Analyzer
  • Data Rules and Metrics

See related categories

IBM Information Analyzer Essentials v 11.5 - SPVC

Price on request

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