Kıbrıs IBM Information Analyzer Essentials v 11.5 Eğitimi

You should have:

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

• 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

• 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