Chi dovrebbe partecipare
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.
Prerequisiti
You should have:
- Data modeling experience helpful
- Familiarity with Open Database Connectivity (ODBC) and relational database access techniques
Product description
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.
Outline
- 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