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.
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.
This course is based on Oracle Enterprise Data Quality version 12.1.3 .
Configure a single-node OpenStack setup
Configure a multi-node OpenStack setup
Administer identity resources
Administer system resources
Describe the OpenStack framework
Familiarity with structured data record
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
Match Rule Lists and Fuzzy (inexact) Matching
Using Multiple Comparisons
Identifying Fuzzy (inexact) Matches
Tuning Match Rules
Clustering for Performance
Discussing Defaults for Merging
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
Introduction to Case Management
Overview of Case Management
Overview of Address Verification
Using the Address Verification Processor
About Accuracy flags: Interpreting Address Verification Results
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
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
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
https://www.exitcertified.com/it-training/oracle/java-middleware/data-integration/12c-match-parse-44556-detail.htmlD91752GC10Oracle Enterprise Data Quality 12c: Match and Parse https://assets.exitcertified.com/assets/CourseImages/1238c997f9/AdobeStock_201360427__FitMaxWzEwMDAsMTAwMF0.jpg2931.00USDInStock/Training/Oracle/Java and Middleware/Data IntegrationThis Oracle Enterprise Data Quality 12c: Match and Parse training (based on Oracle Enterprise Data Quality version 12.1.3)...2931.00OracleClassroom2015-10-09T03:00:03+00:00USD