Table of Contents

Search

  1. Preface
  2. Introduction
  3. Defining a System
  4. Flattening IDTs
  5. Link Tables
  6. Loading a System
  7. Static Clustering
  8. Simple Search
  9. Search Performance
  10. Miscellaneous Issues
  11. Limitations
  12. Error Messages

Data Analysis

Data Analysis

For each search type, decide what user data is needed for searching, matching and display and map the database tables and relationships that hold that data.
For example, the Customer Search system needs to search on customer name or address, requires name, address, date of birth and sex for matching, and in addition to the matching fields, requires Customer- ID, Customer-Type (individual or organization) and Name-Status (current, former or alias) for display.
This data is stored in User Source Tables as follows:

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