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ZZ820G: InfoSphere MDM Architecture V11

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Course Outline:

Course Outline

Unit 1: MDM and the Enterprise

  • Physical, Virtual and Hybrid Hubs
  • Working with Physical Hub
  • Working with Virtual Hub
  • Working with Hybrid Hub

Unit 2: Architecture

  • Big Picture
  • How InfoSphere MDM Works
  • Architecture Overview

Unit 3: MDM Physical Model

  • Party Domain
  • Account Domain
  • Product Domain
  • Metadata
  • Common Domain

Unit 4: MDM Virtual Model

  • Member Tables
  • Dictionary Tables
  • Entity and Relationship Tables
  • Audit Tables

Unit 5: How InfoSphere MDM services are Invoked

  • InfoSphere MDM Consumers
  • How Services are invoked
  • How Services are Handled

Unit 6: How Services are implemented

  • Handing Physical Hub Services
  • Handing Virtual Hub Services

Unit 7: Linking and Duplicates

  • Probabalistic Matching Engine
  • Algorithms
  • Bucketing
  • Standardization
  • Comparison Functions
  • Weights
  • Physical Hub Suspect Processing
  • Virtual Hub Linking

Unit 8: How Services are Extended (Physical Hub)

  • Types of Extensions
  • Data Extension
  • Data Additions
  • Specs
  • Behavior Extensions
  • Composite Services

Unit 9: How Services are Configured (Virtual)

  • Data Model Customizations
  • Algorithms
  • Handlers
  • Events
  • Composite Views

Unit 10: Common Services

  • External Rules
  • Validation
  • Rules of Visibility
  • Configuration
  • Standardization
  • Logging and Serviceability
  • Multi-Time zone
  • Search Framework

Unit 11: Integration

  • Information Server
  • BPM
  • Identity Insight

Course Audience & Prerequisites:

Audience

This intermediate course is designed for the following participants who want to get an understanding of the InfoSphere MDM Architecture (including the Virtual and Physical Hubs):

• Infrastructure Specialist
• Senior Technical Specialist
• Technical Specialist
• Support Engineers
• System Architects

Prerequisites

Working knowledge Java EE architecture

Course Offerings:

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.

  • Course Outline
  • Course Audience & Prerequisites
  • Course Offerings
  • Related Courses

Course Outline

Unit 1: MDM and the Enterprise

  • Physical, Virtual and Hybrid Hubs
  • Working with Physical Hub
  • Working with Virtual Hub
  • Working with Hybrid Hub

Unit 2: Architecture

  • Big Picture
  • How InfoSphere MDM Works
  • Architecture Overview

Unit 3: MDM Physical Model

  • Party Domain
  • Account Domain
  • Product Domain
  • Metadata
  • Common Domain

Unit 4: MDM Virtual Model

  • Member Tables
  • Dictionary Tables
  • Entity and Relationship Tables
  • Audit Tables

Unit 5: How InfoSphere MDM services are Invoked

  • InfoSphere MDM Consumers
  • How Services are invoked
  • How Services are Handled

Unit 6: How Services are implemented

  • Handing Physical Hub Services
  • Handing Virtual Hub Services

Unit 7: Linking and Duplicates

  • Probabalistic Matching Engine
  • Algorithms
  • Bucketing
  • Standardization
  • Comparison Functions
  • Weights
  • Physical Hub Suspect Processing
  • Virtual Hub Linking

Unit 8: How Services are Extended (Physical Hub)

  • Types of Extensions
  • Data Extension
  • Data Additions
  • Specs
  • Behavior Extensions
  • Composite Services

Unit 9: How Services are Configured (Virtual)

  • Data Model Customizations
  • Algorithms
  • Handlers
  • Events
  • Composite Views

Unit 10: Common Services

  • External Rules
  • Validation
  • Rules of Visibility
  • Configuration
  • Standardization
  • Logging and Serviceability
  • Multi-Time zone
  • Search Framework

Unit 11: Integration

  • Information Server
  • BPM
  • Identity Insight

Audience

This intermediate course is designed for the following participants who want to get an understanding of the InfoSphere MDM Architecture (including the Virtual and Physical Hubs):

• Infrastructure Specialist
• Senior Technical Specialist
• Technical Specialist
• Support Engineers
• System Architects

Prerequisites

Working knowledge Java EE architecture

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.