Informatica Data Quality Online Training

Informatica Data Quality Online Training


    Informatica Data Quality Course Content:

    • Informatica Analyst 9
    • Analyst GUI
    • Metadata and Data access/import
    • Column Profiling
    • Frequency/Patterns/Statistics/Drill downs
    • Rule Profiling
    • Out Of The Box rules
    • Custom rules
    • Reference Tables Management
    • Project Collaboration
    • Data Quality Score carding

    1.Informatica Developer9

    • Developer GUI
    • Developer Profiling including:
    • Mid-stream profiling
    • Join analysis profiling
    • Building Data Quality Mapplets and Rules
    • Data Standardization
    • Cleanse, transform and parse data using DQ transformations such as the Case Converter, Merge, Labeler,Standardize, Parser
    • Address Validation
    • Perform address validation and create AV mapplets and mappings
    • Matching
    • Group data prior to matching to improve matching performance
    • Perform DQ and Identity Matching to identify duplicate records
    • Develop Matching Mapplets
    • Associate and Consolidate matched data
    • Work with the Data Quality Assistant
    • Power Center Integration
    • Parameterization Data Quality Workshop

    2.Association/Consolidation Trasformation

    • Application and usage of the transformation to eliminate duplicates
    • Using different strategies in Consolidation transformation
    • Advanced Consolidation transformation usage and Row base

    3.Address Validation Transformation

    • Configuring AV transformation using the CMS
    • Setting the properties in AD50.cfg file
    • End to End scenario featuring the AV transformation

    4.Match Transformation

    • Configuring the Key gen transformation and Match
    • Understanding the various strategies as a part of the classic Match transformation
    • Setting the SSAPR and initializing IMO (Identity Match transformation)

    5.Exception Transformation

    • Configuring Bad Record/Consolidation exception transformation
    • Editing the DQA tables as a part of the Analyst tool
    • Recycling records using Exception transformation

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