Oracle Enterprise Data Quality 12c: Match and Parse - Fudgelearn

Oracle Enterprise Data Quality 12c: Match and Parse

Date
Time
Price
Date
Time
Price
Location
Date
Start time
Price
Location
Version title
Price
Oracle Enterprise Data Quality 12c: Match and Parse
£ 1599

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 .

Required Prerequisite

  • Oracle Enterprise Data Quality 12c: Profile, Audit and Operate Ed 1
  • Familiarity with structured data record
  • Administrator
  • Developer
  • End User
  • Implementer
  • Systems Administrator
  • Configure a single-node OpenStack setup
  • Configure a multi-node OpenStack setup
  • Administer identity resources
  • Administer system resources
  • Troubleshoot OpenStack
  • Describe the OpenStack framework
  • 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
    • Clustering for Performance
    • Clustering Strategies
    • Tuning Clusters
  • Merge
    • 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
Need help finding the right course

Having problem finding the course you’re looking for? Get in touch.

£ 1599
3 Days
Train online via an Internet connection, 24/7
1 Event available
Share this Course
Get in touch
If you would like to find out how we can help you, please get in touch
Book a meeting
We offer free consultation if you’re keen to find out what course fits the best for you. Use the link below to schedule a meeting with us.
Print
Use the links below to print the details.
Convince your boss

Oracle Enterprise Data Quality 12c: Match and Parse

Course Overview

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 .

Training on Demand
Date
Start time
Price
Location
Available On Demand
£ 1599
Prerequisites

Required Prerequisite

  • Oracle Enterprise Data Quality 12c: Profile, Audit and Operate Ed 1
  • Familiarity with structured data record
Audience
  • Administrator
  • Developer
  • End User
  • Implementer
  • Systems Administrator
Objectives
  • Configure a single-node OpenStack setup
  • Configure a multi-node OpenStack setup
  • Administer identity resources
  • Administer system resources
  • Troubleshoot OpenStack
  • Describe the OpenStack framework
Topics
  • 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
    • Clustering for Performance
    • Clustering Strategies
    • Tuning Clusters
  • Merge
    • 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