Курс: Oracle Enterprise Data Quality: Match and Parse

Продолжительность курса: 24 ак. ч.

Формат обучения:
• Очно - на территории нашего учебного центра или на территории Заказчика (для корпоративных клиентов)
• Онлайн обучение с помощью вебинаров в режиме "здесь и сейчас"
• Дистанционно с помощью системы СДО в любое удобное для вас время

Описание курса:
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.
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.

Аудитория:
• End Users
• System Analysts
• System Analysts
• System Analysts
• Sales Consultants
• Sales Consultants
• Sales Consultants
• Technical Consultant
• Functional Implementer
• Reports Developer
• Business Intelligence Developer
• Data Warehouse Administrator
• Data Warehouse Administrator
• Data Warehouse Administrator

Результат обучения:
После изучения курса слушатель будет уметь:
• 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.
• Cofigure 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

Программа курса:
Модуль 1. Match Overview
• Discussing Business Examples of Matching
• What Constitues a Match?
• About the Match Processors

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

Модуль 3. Match Rule Lists and Fuzzy (inexact) Matching
• Using Multiple Comparisons
• Tuning Match Rules
• Identifying Fuzzy (inexact) Matches

Модуль 4. Clustering
• Tuning Clusters
• Clustering Strategies
• Clustering for Performance

Модуль 5. Merge
• Discussing Defaults for Merging
• Merging Options

Модуль 6. Match Review
• Discussing Review Groups
• About the Match Review Interface

Модуль 7. Customer Data Extension Pack Match Processors
• About the Match Households processor
• About the Match Entities processor
• About the Match Individuals processors

Модуль 8. Match Case Studies
• Describing Deduplication
• Enhancing Records

Модуль 9. Introduction to Case Management
• Overview of Case Management

Модуль 10. Address Verification
• Using the Address Verification Processor
• About Accuracy flags: Interpreting Address Verification Results
• Overview of Address Verification

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

Модуль 12. Introduction to the Customer Data Servcies Pack
• Customer Data Services Pack Overview

Модуль 13. Parse Overview
• About Business Uses of Parsing
• Parsing in Oracle Enterprise Data Quality

Модуль 14. The Phrase Profiler
• Using the Phrase Profiler
• Identifying Misplaced Data
• Identifying Common Words and Phrases

Модуль 15. Tailoring a Customer Data Extenstion Pack Parse Profiler- Part I
• Using the Classify sub processor
• Understanding Tokenization

Модуль 16. Tailoring a Customer Data Extenstion Pack Parse Profiler- Part II
• Classification vs. Reclassification
• Using the Reclassify sub processor

Модуль 17. Tailoring a Customer Data Extenstion Pack Parse Profiler - Part III
• Creating Exact and Fuzzy Resolution Rules
• Using the Select sub processor
• Using the Resolve sub processor

Модуль 18. Optional- Case Studies
• Discussing Overall Enterprise Data Quality Case Study
• Discussing Parse Case Study Записаться на курс