Table of Contents

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  1. Introduction
  2. Configuring Hub Console Tools
  3. Building the Data Model
  4. Configuring the Data Flow
  5. Executing Informatica MDM Hub Processes
  6. Configuring Application Access
  7. MDM Hub Properties
  8. Viewing Configuration Details
  9. Search with Solr
  10. Row-level Locking
  11. MDM Hub Logging
  12. Table Partitioning
  13. Collecting MDM Environment Information with the Product Usage Toolkit
  14. Glossary

Match Rules

Match Rules

A match rule defines the criteria by which
Informatica MDM Hub
determines whether two records in the base object might be duplicates. Match rules can be based on match columns or primary keys.
Type
Description
Match column rules
Used to match base object records based on the values in columns you have defined as match columns, such as last name, first name, address1, and address2. This is the most commonly-used method for identifying matches.
Primary key match rules
Used to match records from two systems that use the same primary keys for records. It is uncommon for two different source systems to use identical primary keys. However, when this does occur, primary key matches are quick and very accurate.
Both kinds of match rules can be used together for the same base object.
The match rule you specify can be one of the following types:
Rule Type
Description
Exact match
Values must match exactly, or the special case must match exactly, such as null matches null. The processing for exact match takes place primarily on the database server.
Fuzzy match
Values are not an exact match but similar to the value being matched against. Matches are determined by the match tokens that are shared by some values and this depends on the population. For example, Robert, Rob, and Bob in English speaking populations, for the match purpose of Name, may have the same match token value. A fuzzy match is primarily processed on the application server.
Filtered match
Similar to exact match. The exact match rule is changed to a type Filtered, and the fuzzy match engine is used to achieve the same results as you would with an exact match rule.
Filtered match rules use the search level of Narrow, because the fuzzy matching must be narrow enough for the results to be the same as that of an exact match. The processing for filtered match takes place primarily on the application server.

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