Oracle Enterprise Data Quality - Match & Parse Training Course and Workshop in Bangalore, Mysore, Chennai, Hyderabad, Pune, Mumbai, Delhi, Noida, Gurgaon, Kolkata

This Oracle Enterprise Data Quality - Match & Parse training course provides skills to configure match processors to find and optionally merge exact and similar (fuzzy) matching records. You will learn how to create sophisticated match rules, configure merge options and review match results.

By taking this course, you will 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.

By attending Oracle Enterprise Data Quality - Match & Parse workshop, delegates will learn to:

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

Attend a training on Oracle Enterprise Data Quality - Profile, Audit and Operate or equivalent practical experience
Familiarity with structured data record

The Oracle Enterprise Data Quality - Match & Parse class is ideal for:

Administrators
Developers
End Users
Implementers
Systems Administrators

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

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Oracle Enterprise Data Quality - Match and Parse

COURSE AGENDA