Seminar Details

IBM InfoSphere QualityStage Essentials v11.5 (KM213G)

ETC
KM213G
Hersteller-ID: KM213G
Prüfungs ID:
Dauer: 4 Tage
Preis: € 3.100.- exkl.MwST
Wissensgarantie: hier nicht automatisch anwendbar – bitte kontaktieren Sie Ihren Betreuer für Details
This course teaches how to build QualityStage parallel jobs that investigate, standardize, match, and consolidate data records. Students will gain experience by building an application that combines customer data from three source systems into a single master customer record.

Nach Abschluss dieses Seminars haben die Teilnehmer Wissen zu folgenden Themen:
  • List the common data quality contaminants
  • Describe each of the following processes:
  • Investigation
  • Standardization
  • Match
  • Survivorship
  • Describe QualityStage architecture
  • Describe QualityStage clients and their functions
  • Import metadata
  • Build and run DataStage/QualityStage jobs, review results
  • Build Investigate jobs
  • Use Character Discrete, Concatenate, and Word Investigations to analyze data fields
  • Describe the Standardize stage
  • Identify Rule Sets
  • Build jobs using the Standardize stage
  • Interpret standardization results
  • Investigate unhandled data and patterns
  • Build a QualityStage job to identify matching records
  • Apply multiple Match passes to increase efficiency
  • Interpret and improve match results
  • Build a QualityStage Survive job that will consolidate matched records into a single master record
  • Build a single job to match data using a Two-Source match

  • Alle Details einblenden

    Zielgruppe

    Dieses Seminar richtet sich an:
    • Data Analysts responsible for data quality using QualityStage
    • Data Quality Architects
    • Data Cleansing Developers

    Vorkenntnisse

    Für dieses Seminar werden folgende Kenntnisse empfohlen:
    • Familiarity with the Windows operating system
    • Familiarity with a text editor

    Schwerpunkte

    1. 1. Data Quality Issues
      1. Listing the common data quality contaminants
      2. Describing data quality processes
    2. 2. QualityStage Overview
      1. Describing QualityStage architecture
      2. Describing QualityStage clients and their functions
    3. 3. Developing with QualityStage
      1. Importing metadata
      2. Building DataStage/QualityStage Jobs
      3. Running jobs
      4. Reviewing results
    4. 4. Investigate
      1. Building Investigate jobs
      2. Using Character Discrete, Concatenate, and Word Investigations to analyze data fields
      3. Reviewing results
    5. 5. Standardize
      1. Describing the Standardize stage
      2. Identifying Rule Sets
      3. Building jobs using the Standardize stage
      4. Interpreting standardize results
      5. Investigating unhandled data and patterns
    6. 6. Match
      1. Building a QualityStage job to identify matching records
      2. Applying multiple Match passes to increase efficiency
      3. Interpreting and improving Match results
    7. 7. Survive
      1. Building a QualityStage survive job that will consolidate matched records into a single master record
    8. 8. Two-Source Match
      1. Building a QualityStage job to match data using a reference match
    Alle Details ausblenden

Termin Anfragen

    Durch Angabe Ihrer E-Mail-Adresse und Anklicken des Buttons „Newsletter abonnieren“ erklären Sie sich damit einverstanden, dass ETC Ihnen regelmäßig Informationen zu IT Seminaren und weiteren Trainings- und Weiterbildungsthemen zusendet. Die Einwilligung kann jederzeit bei ETC widerrufen werden.

Ihre Fragen zum Seminar

CHAT mit Experten ODER Rückruf anfordern

Kein passender Termin dabei? Mehr als 5 Personen? Firmentermin gewünscht?

Rufen sie uns an +43/1/533 17 77 - 99

Bewertungen

Bisher keine Bewertungen