Summer-Ready Savings: Find the Training Course You Need at a Price You'll Love


Oracle Enterprise Data Quality 12c: Match and Parse

Course Details
Code: D91752GC10
Tuition (USD): $2,931.00 • Classroom (3 days)
Course Details
GSA (USD): $2,312.34 • Classroom (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.

Benefits to You

By taking this course, you'll get introduced to Oracle Enterprise Data Quality's transliteration capabilities on a deeper level so you can leverage this solution. Develop an understanding of available match processors, including those in the Customer Data Extension Pack.

Please Note

This course is based on Oracle Enterprise Data Quality version 12.1.3 .

Skills Gained

  • Configure a single-node OpenStack setup
  • Configure a multi-node OpenStack setup
  • Administer identity resources
  • Administer system resources
  • Troubleshoot OpenStack
  • Describe the OpenStack framework


  • Familiarity with structured data record

Course Details

Match Overview

  • Discussing Business Examples of Matching
  • About the Match Processors
  • What Constitues a Match

Oracle Enterprise Data Quality Matching Fundamentals

  • Discussing Inputs to Match
  • About Mapping Identifiers
  • Discussing Fundamentals of Clustering
  • Setting up Simple Match Rules
  • Browsing Results

Match Rule Lists and Fuzzy (inexact) Matching

  • Using Multiple Comparisons
  • Identifying Fuzzy (inexact) Matches
  • Tuning Match Rules


  • Clustering for Performance
  • Clustering Strategies
  • Tuning Clusters


  • Discussing Defaults for Merging
  • Merging Options

Match Review

  • Discussing Review Groups
  • About the Match Review Interface

Customer Data Extension Pack Match Processors

  • About the Match Entities processor
  • About the Match Individuals processors
  • About the Match Households processor

Match Case Studies

  • Enhancing Records
  • Describing Deduplication

Introduction to Case Management

  • Overview of Case Management

Address Verification

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

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

Introduction to the Customer Data Servcies Pack

  • Customer Data Services Pack Overview

Parse Overview

  • About Business Uses of Parsing
  • Parsing in Oracle Enterprise Data Quality

The Phrase Profiler

  • Using the Phrase Profiler
  • Identifying Common Words and Phrases
  • Identifying Misplaced Data

Tailoring a Customer Data Extenstion Pack Parse Profiler- Part I

  • Understanding Tokenization
  • Using the Classify sub processor

Tailoring a Customer Data Extenstion Pack Parse Profiler- Part II

  • Using the Reclassify sub processor
  • Classification vs. Reclassification

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

Optional- Case Studies

  • Discussing Parse Case Study
  • Discussing Overall Enterprise Data Quality Case Study
Contact Us 1-800-803-3948
Contact Us Live Chat
FAQ Get immediate answers to our most frequently asked qestions. View FAQs arrow_forward