Tell us a little about yourself:
Do you want to find match member records, link member records, and perfect a search algorithm for your InfoSphere MDM Virtual implementation? Then this course is designed for you. The InfoSphere MDM Virtual Module Algorithms v11 course prepares students to work with and customize the algorithm configurations deployed to the InfoSphere MDM Probabilistic Matching Engine (PME) for a Virtual 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 the exercises, where the students will implement the customization discussed in the course to perform matching, linking, and searching on fields not provided by the default implementation. At the end of this course it is expected students will feel comfortable customizing an algorithm for the PME for a Virtual implementations.
If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course.
8 ways to turn data into value with Apache Spark machine learning
Analytics, Big Data, and Data Science Courses - Big Data University
IBM Launches Data Center Object Storage for Data That Can't Be Changed
Curb on-demand self-service risks with cloud inventory management
The art of designing data flow on a free-form canvas
Build your client relationships using the power of customer insight
Use cases for industry cognitive solutions
Big Data University Learning Paths
It is recommended that you take the following course prior to enrolling in this course:
PME and Virtual Overview
Virtual MDM Algorithms
Virtual PME Data Model
Bucket Analysis
Weights