Oracle Enterprise Data Quality 12c: Match and Parse (D91752)

Oracle Enterprise Data Quality 12c: Match and Parse (D91752)


Duration: 3 days

This Oracle Enterprise Data Quality 12c: Match and Parse training (based on Oracle Enterprise Data Quality version 12.1.3) teaches you how to configure match processors to find and optionally merge exact and similar (fuzzy) matching records. You’ll learn how to create sophisticated match rules, configure merge options and review match results.

Learn To:

  • Configure match processors to identify and optionally merge matching records.
  • Use parse processors to extract key data from free text fields.
  • Use the address verification processor and interpret its results.
  • Standardize data using a number of Oracle Enterprise Data Quality processors.
  • Use and interpret results from the Oracle Enterprise Data Quality Address Verification server.
  • Tailor a customer data extension pack parse processor to extract, standardize and re-structure data from a free text field.
  • Configure the Parse processor from scratch.
  • Reach a semantic understanding of free text by using the Phrase Profiler.
  • Understand EDQ’s Customer Data Services Pack and case management functionality.



Upon completing this course, the learner will be able to meet these overall objectives:
  • Tailor parse and match processors from the Customer Data Extension Pack
  • Explain the need and uses of matching
  • Explain the need and uses of parsing
  • Use the Phrase Profiler
  • Explain the essentials of matching and parsing.
  • Configure match processors to identify and if necessary, consolidate matching data records
  • Use the Address Verification processor and interpret its results
  • Use transformation processors to standardize data
  • Configure parse processors
Module 1: Match Overview
Discussing Business Examples of Matching
About the Match Processors
What Constitues a Match?

Module 2: Oracle Enterprise Data Quality Matching Fundamentals
Discussing Inputs to Match
About Mapping Identifiers
Discussing Fundamentals of Clustering
Setting up Simple Match Rules
Browsing Results

Module 3: Match Rule Lists and Fuzzy (inexact) Matching
Using Multiple Comparisons
Identifying Fuzzy (inexact) Matches
Tuning Match Rules

Module 4: Clustering
Clustering for Performance
Clustering Strategies
Tuning Clusters

Module 5: Merge
Discussing Defaults for Merging
Merging Options

Module 6: Match Review
Discussing Review Groups
About the Match Review Interface

Module 7: Customer Data Extension Pack Match Processors
About the Match Entities processor
About the Match Individuals processors
About the Match Households processor

Module 8: Match Case Studies
Enhancing Records
Describing Deduplication

Module 9: Introduction to Case Management
Overview of Case Management

Module 10: Address Verification
Overview of Address Verification
Using the Address Verification Processor
About Accuracy flags: Interpreting Address Verification Results

Module 11: Standardizing Data
Overview of Standarization
Overview of Simple Standardization
About the Character Replace and Replace Processors
About the Pattern Transform and RegEx Replace Processors
About the Merge Processor
Overview of Transliteration Capabilities

Module 12: Introduction to the Customer Data Servcies Pack
Customer Data Services Pack Overview

Module 13: Parse Overview
About Business Uses of Parsing
Parsing in Oracle Enterprise Data Quality

Module 12: The Phrase Profiler
Using the Phrase Profiler
Identifying Common Words and Phrases
Identifying Misplaced Data

Module 13: Tailoring a Customer Data Extenstion Pack Parse Profiler- Part I
Understanding Tokenization
Using the Classify sub processor

Module 14: Tailoring a Customer Data Extenstion Pack Parse Profiler- Part II
Using the Reclassify sub processor
Classification vs. Reclassification

Module 13: Tailoring a Customer Data Extenstion Pack Parse Profiler – Part III
Using the Select sub processor
Using the Resolve sub processor
Creating Exact and Fuzzy Resolution Rules
  • Familiarity with structured data record
  • Oracle Enterprise Data Quality 12c: Profile, Audit and Operate
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