InfoSphere MDM Architecture v11 Course Overview

InfoSphere MDM Architecture v11 Course Overview

The InfoSphere MDM Architecture v11 course is an in-depth educational offering that primarily focuses on the various aspects of Master Data Management (MDM) within the context of IBM's InfoSphere platform. Learners will gain a comprehensive understanding of how MDM solutions can be implemented within an enterprise to manage critical data about customers, products, and accounts. The course covers different hub models including Physical, Virtual, and Hybrid hubs, and delves into their workings, advantages, and use cases.

Participants will explore the architecture of InfoSphere MDM, learn about the physical and virtual data models, and understand how MDM services are invoked and implemented. The course also addresses complex topics such as linking and duplicates, probabilistic matching, and how services can be extended and configured to meet specific business needs. Modules on common services and integration with other IBM products like Information Server and BPM provide a holistic view of MDM's role in larger IT ecosystems. Through this course, learners will be equipped with the knowledge to effectively leverage InfoSphere MDM for their data management strategies.

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  • Live Online Training (Duration : 24 Hours)
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Course Prerequisites

To ensure a successful learning experience in the InfoSphere MDM Architecture v11 course, participants should come prepared with the following minimum prerequisites:

  • Basic understanding of Master Data Management (MDM) concepts and principles.
  • Familiarity with database management and data modeling concepts.
  • Experience with SQL and relational databases.
  • Knowledge of basic programming principles and constructs.
  • An understanding of enterprise integration patterns and service-oriented architecture (SOA).
  • Awareness of data quality, data governance, and data lifecycle management.
  • Prior exposure to IBM InfoSphere MDM is beneficial but not mandatory.

These prerequisites are designed to provide a solid foundation for learners to grasp the complexities of the InfoSphere MDM system and to facilitate an effective learning process throughout the course.

Target Audience for InfoSphere MDM Architecture v11

InfoSphere MDM Architecture v11 course is designed for IT professionals focused on data management and architecture.

  • Data Architects
  • MDM Developers
  • System Administrators
  • Solution Architects
  • Data Governance Specialists
  • Database Administrators
  • IT Consultants specializing in data solutions
  • Enterprise Architects
  • Technical Analysts involved in data integration projects
  • Business Intelligence Professionals
  • Data Quality Managers

Learning Objectives - What you will Learn in this InfoSphere MDM Architecture v11?

Introduction to Learning Outcomes:

Gain in-depth knowledge of IBM InfoSphere MDM Architecture v11, covering physical, virtual, and hybrid models, service invocation, implementation, and integration with enterprise solutions.

Learning Objectives and Outcomes:

  • Understand the differences and applications of physical, virtual, and hybrid hubs in Master Data Management (MDM).
  • Learn the architecture of InfoSphere MDM and how it fits within the enterprise landscape.
  • Gain proficiency in working with the InfoSphere MDM Physical Model, including party, account, and product domains.
  • Master the structure and function of the MDM Virtual Model, including member, dictionary, entity, and relationship tables.
  • Acquire skills on how to invoke and handle InfoSphere MDM services for different types of consumers.
  • Develop the ability to implement services for both physical and virtual hubs in InfoSphere MDM.
  • Understand the Probabilistic Matching Engine, its algorithms, and how it handles linking and duplicate detection.
  • Learn how to extend services in the physical hub through various types of extensions, including data and behavior extensions.
  • Configure and customize virtual hub services, including data model customizations and composite views.
  • Integrate common services, such as external rules and validation, and work with tools like IBM Information Server and BPM for comprehensive MDM solutions.