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Oracle Enterprise Data Quality 12c: Match and Parse (D91752GC10)

Tablet Lenovo (7"/8GB/WiFi/Android) gratis*!

Do szkoleń autoryzowanych Oracle 3, 4 lub 5 dniowych w formacie ILT, zamówionych w Database Consulting.
*Promocja ważna do wyczerpania zapasów lub do odwołania i nie łączy się z innymi promocjami ani zniżkami

Autoryzacja

Szkolenie autoryzowane Oracle

Format prowadzenia szkolenia

ILT - szkolenie klasyczne, w sali szkoleniowej, z trenerem

Kod szkolenia

D91752GC10

Dla kogo

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

Czas trwania

3 dni

Cena bazowa

PLN 5334

Cel

  • 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

Opis

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 YouBy 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 NoteThis course is based on Oracle Enterprise Data Quality version 12.1.3 .

Tematy

  1. Match Overview
    • Discussing Business Examples of Matching
    • About the Match Processors
    • What Constitues a Match?
  2. Oracle Enterprise Data Quality Matching Fundamentals
    • Discussing Inputs to Match
    • About Mapping Identifiers
    • Discussing Fundamentals of Clustering
    • Setting up Simple Match Rules
    • Browsing Results
  3. Match Rule Lists and Fuzzy (inexact) Matching
    • Using Multiple Comparisons
    • Identifying Fuzzy (inexact) Matches
    • Tuning Match Rules
  4. Clustering
    • Clustering for Performance
    • Clustering Strategies
    • Tuning Clusters
  5. Merge
    • Discussing Defaults for Merging
    • Merging Options
  6. Match Review
    • Discussing Review Groups
    • About the Match Review Interface
  7. Customer Data Extension Pack Match Processors
    • About the Match Entities processor
    • About the Match Individuals processors
    • About the Match Households processor
  8. Match Case Studies
    • Enhancing Records
    • Describing Deduplication
  9. Introduction to Case Management
    • Overview of Case Management
  10. Address Verification
    • Overview of Address Verification
    • Using the Address Verification Processor
    • About Accuracy flags: Interpreting Address Verification Results
  11. 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
  12. Introduction to the Customer Data Servcies Pack
    • Customer Data Services Pack Overview
  13. Parse Overview
    • About Business Uses of Parsing
    • Parsing in Oracle Enterprise Data Quality
  14. The Phrase Profiler
    • Using the Phrase Profiler
    • Identifying Common Words and Phrases
    • Identifying Misplaced Data
  15. Tailoring a Customer Data Extenstion Pack Parse Profiler- Part I
    • Understanding Tokenization
    • Using the Classify sub processor
  16. Tailoring a Customer Data Extenstion Pack Parse Profiler- Part II
    • Using the Reclassify sub processor
    • Classification vs. Reclassification
  17. 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
  18. Optional- Case Studies
    • Discussing Parse Case Study
    • Discussing Overall Enterprise Data Quality Case Study

Wymagania

    • Familiarity with structured data record

Zgłaszanie chęci uczestnictwa

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