Table of Contents

Search

  1. Preface
  2. Introduction
  3. Defining a System
  4. Flattening IDTs
  5. Link Tables
  6. Loading a System
  7. Persistent-ID (Dynamic Clustering)
  8. Cluster Governance
  9. Static Clustering
  10. Simple Search
  11. Search Performance
  12. Miscellaneous Issues
  13. Limitations
  14. 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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