Log in / Sign Up
  • Home
  • About
  • Training
    • Course Catalog
    • Exams
    • Learning Journeys
  • Calendar
  • Contact

Call us

+(27) 11 568 8065

16th Rd, 400 Randjies Office Park, Block L South, Midrand, 1685
mehacademy.africa
MEH ACADEMY
MEH Academy-01
  • Home
  • About
  • Training
    • Course Catalog
    • Exams
    • Learning Journeys
  • Calendar
  • Contact

Informatica Data Quality Foundation for Developers 10.x

Curriculum

  • 1 Section
  • 19 Lessons
  • 4 Days
Expand all sectionsCollapse all sections
  • Topics
    19
    • 1.1
      1. Data Quality Overview 2. Developer Tool: Physical & Logical Data Objects Overview Create a Physical Data Object Relational Customized Flat File Create a Logical Data Object Exercise #1 Creating Connections & Import Data source
    • 1.2
      3. Data Profiling with Developer Profiling Creating Profiling Rules Creating and running scorecards Exercise #2 Column Profiling in Developer
    • 1.3
      4. Developing Data Quality Projects Overview Objects
    • 1.4
      5. Working with Mappings Mappings Sources Targets Linking and Running
    • 1.5
      6. Working with Transformations Transformations Ports Expressions Testing
    • 1.6
      7. Data Integration Transformations Part 1: Expression Filter Aggregator Sorter
    • 1.7
      8. Data Integration Transformations Part 2: Joiner Lookup Router Union
    • 1.8
      9. Working with Mapplets & Rules: Overview Creating Mapplet Rules
    • 1.9
      10. Using Reference Data: Overview User Reference Table Content sets
    • 1.10
      11. Data Standardization: Cleanse and standardize the data set using Standardization transformation: Case Converter, Merger, Labeler, Standardizer Exercise #3 Data Standardization
    • 1.11
      12. Data Parsing: Parser the data set using one of the following methods: Token Parser, tern ParserNER/Probabilistic Model ? Dec, ision Exercise #4 Parsing using Pattern Based Parsing
    • 1.12
      13. Address Validation Overview Reference Data Work with Address Validation mappings
    • 1.13
      14. Data Matching Introducing Matching Concepts Data Grouping Matching Analysis Matching Transformation Exercise #5 Apply Matching Techniques – Classic Matching
    • 1.14
      15. Identity Match Option IMO vs Classic Matching Overview IMO configuration Exercise #6 Apply Matching Techniques – Identity Matching
    • 1.15
      16. Automatic Consolidation Consolidation transformation Automatically consolidate matched records Exercise #7 Multi Criteria Matching, Association and Consolidation
    • 1.16
      17. Working with Workflows: Build a workflow that handle Exception and duplicate records. Human Task Other Tasks Deployment Exercise #8 Informatica Data Quality Workflow Using Human Task
    • 1.17
      18. Analyst for the Exception records: Update and modify the exception/duplicate records through the Analyst tool.
    • 1.18
      19. Other Transformations: Comparison Weighted Average
    • 1.19
      20. Power Center Integration: Exporting to PC Importing from PC
This content is protected, please login and enroll in the course to view this content!
10. Using Reference Data: Overview User Reference Table Content sets
Prev
12. Data Parsing: Parser the data set using one of the following methods: Token Parser, tern ParserNER/Probabilistic Model ? Dec, ision Exercise #4 Parsing using Pattern Based Parsing
Next
MEH Academy-01

Follow us on social media

Training

  • Training Catalog
  • Exams
  • Learning Journeys

CATEGORIES

  • Design
  • Development
  • Marketing
  • Finance & Accounting
  • IT & Software
  • Sales Marketing
  • Photohraphy
  • UX Design
  • Art & Humanities
  • Social Sciences
  • Personal
  • Lifiestyle
  • Seo

SUPPORT

  • Profile
  • Contact
  • Help Center
  • Privacy Policy

GET IN TOUCH

We don’t send spam so don’t worry.

© 2025 MEH Academy. All Rights Reserved.

  • Help
  • Term Conditions
  • Security
  • Privacy Policy
  • Returns Policy