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ZZ780G – InfoSphere MDM Algorithms

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This course prepares students to work with and customize the algorithm configurations deployed to the InfoSphere MDM Probabilistic Matching Engine (PME) for Virtual and Physical MDM implementations. The PME is the heart of all Matching, Linking, and Searching for entities (Person, Organization, etc) that exist in InfoSphere MDM. This course has a heavy emphasis on exercises, where students will implement the customization discussed in the course to perform matching, linking, and searching on fields not provided by the default implementation.

Course Length: 2 day(s)

Course Price: $2805 CAD

Available Course Formats:

  • In-class
  • Instructor Led Online
  • Self-Paced Virtual Classroom

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Course: ZZ780G – InfoSphere MDM Algorithms

PME and Virtual Overview

  • Virtual MDM Overview
  • Terminology (Source, Entity, Member, Attributes)
  • PME and Virtual MDM ( Algorithms, Weights, Comparison Scores, Thresholds)
  • Virtual MDM Linkages and Tasks

Virtual MDM Algorithms

  • Standardization
  • Bucketing
  • Comparison Functions
  • Exercise: Creating a new Algorithm

Virtual PME Data Model

  • Algorithm configuration tables
  • Member Derived Data
  • Bucketing Data
  • Exercise: Loading Members and viewing Algorithm and Derived data

Bucket Analysis

  • Analysis Overview
  • Attribute Completeness
  • Bucket Analysis
  • Exercise: Analyzing our Buckets

Weights

  • Weights Overview (Frequency-based weights, Edit Distance weights and Parameterize weights)
  • The weight formula
  • Running weight generation
  • Analyzing weights
  • Exercise: Generate Weights and analyzing weight distribution

Threshold

  • Bulk Cross Match process
  • Pair Manager
  • Threshold calculations
  • Entity Analytics
  • Exercise: Threshold Calculations
  • Exercise: Pair Manager
  • Exercise: Testing our algorithm

PME and Physical Overview

  • Physical MDM Overview
  • Terminology (Entity, Critical Data, Business Object)
  • PME and Physical MDM ( Algorithms, Weights, Comparison Scores, Thresholds)
  • Physical MDM Suspect Duplicate Processing
  • Physical MDM Probabilistic Search
  • Exercise: Testing the default Physical PME algorithm

Physical PME Data Model and Mapping

  • Default Physical BObjs and mapping to PME
  • Virtual Party Template
  • Default Party Configuration project
  • Exercise: Loading default Physical PME Configuration project

Physical MDM Algorithms

  • Standardization
  • Bucketing
  • Comparison Functions
  • Exercise: Explore and customize the default Physical Algorithm
  • Exercise: Analyzing our Buckets
  • Exercise: Generate Weights
  • Exercise: Deploying the Physical MDM PME Configuration

Physical MDM PME Adapters and Converters

  • MDM PME Adapter overview
  • MDM Outbound and Inbound Converters
  • Exercise: Creating a custom converter

Audience:

• Business and technical specialists working with the Matching, Linking, and Search services of InfoSphere MDM

Prerequisites:

• Experience with InfoSphere MDM (recommended)

Instructor Led In Classroom

Newcomp can directly deliver  IBM Business Analytics courses for Business Intelligence, Performance Management, and IBM Advanced Analytics through the use of in-class training facilities. Currently,  in-class courses are offered in Markham, Ottawa, Vancouver, Halifax, and Edmonton. Please note that classes can be added to new areas based on demand.

Instructor Led Online

Students receive the same quality as an in-class course, with a live instructor and the ability to participate in hands-on labs through real-life examples. ILOs help cut costs by reducing time and travel as they can be taken from home or the office and require only the use of a computer, high-speed wired internet and a headset.

Self Paced

Students can receive the same high-quality training, with the same courseware at their own speed and schedule with SPVC.  Individuals with busy schedules can complete a course over a 30-day timeframe at a lower price than in-class or ILO courses. Please note that there is no live interaction with an instructor in this format.