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$29
  • Semarchy xDM installation
  • Semarchy Data Model
  • Match and Merge Rules
  • Web User Interface/Application Design
  • Integration
  • Discovery/Source Data Analysis
  • Dashboards
  • Security
  • Workflows
  • Deployment

This course is for anyone who wants to learn Semarchy xDM. Semarchy Master Data Management and Data Governance, is recognised for the third consecutive year in the Gartner Magic Quadrant for Master Data Management Solutions. This year, Gartner has positioned the Semarchy in the leaders’ quadrant. Semarchy provides features like data quality, data validation, data matching, de-duplication, data authoring, workflows, and more in one single platform.

 

We will achieve the below in this course:

  • Installation of Semarchy

  • Understanding Data Model components and building it step by step

  • Deploying our data model to Oracle database

  • Designing our Application which will be used by End Users/Data Stewards

  • Understanding Semarchy discovery to profile data sources

  • Creating our first Dashboard with Metrics and charts

  • Setting up integration with Semarchy

  • Understanding Security (users and roles)

  • Workflows for collaboration between different teams

If you have experience in other MDM products and you want to add Semarchy to your profile or you have some knowledge of Semarchy but wants to learn more or you want to create a Semarchy proof of concept(POC) within few hours for a sales pitch, this is the course for you.

We will use all free available resources in this course so you can also have hands on experience with myself during this course. By the end of this course you should be confident to work in any Semarchy implementation.

  • Basic understanding of MDM concepts
  • SQL basics
  • Anyone who wants to learn Semarchy xDM master data management
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  • Section 1 : Introduction 1 Lectures 00:02:54

    • Lecture 1 :
  • Section 2 : Installation 3 Lectures 00:12:14

    • Lecture 1 :
    • Semarchy Installation Part 1
    • Lecture 2 :
    • Semarchy Installation Part 2
    • Lecture 3 :
    • Post Installation and License
  • Section 3 : Semarchy Documentation 1 Lectures

    • Lecture 1 :
    • Online xDM Documentation
  • Section 4 : Semarchy Data Model 8 Lectures 01:20:14

    • Lecture 1 :
    • Data Model and Entity
    • Lecture 2 :
    • Entities(cont.), LOV's and Complex Types
    • Lecture 3 :
    • Entities(cont.),References and Diagram
    • Lecture 4 :
    • Enrichers and Validations
    • Lecture 5 :
    • Match and Merge Part 1
    • Lecture 6 :
    • Match and Merge Part 2
    • Lecture 7 :
    • Matcher(updated)
    • Lecture 8 :
    • Publishers and Survivorship Rules
  • Section 5 : Deployment 3 Lectures 00:21:22

    • Lecture 1 :
    • Datasources
    • Lecture 2 :
    • Data Locations
    • Lecture 3 :
    • Deployment Process
  • Section 6 : Design Application 7 Lectures 00:38:50

    • Lecture 1 :
    • Introduction to Application
    • Lecture 2 :
    • Display Cards
    • Lecture 3 :
    • Forms
    • Lecture 4 :
    • Collections
    • Lecture 5 :
    • Remaining Application Design Components
    • Lecture 6 :
    • Application Wizard
    • Lecture 7 :
    • Default Application Configuration
  • Section 7 : Semarchy Integration And Monitoring 9 Lectures 01:27:50

    • Lecture 1 :
    • Integration Introduction
    • Lecture 2 :
    • Continuous Loads
    • Lecture 3 :
    • Load Countries
    • Lecture 4 :
    • Load Marital Status
    • Lecture 5 :
    • Load Customers
    • Lecture 6 :
    • Semarchy Data Hub Structures
    • Lecture 7 :
    • Load Customers via Continuous Loads
    • Lecture 8 :
    • REST API
    • Lecture 9 :
    • Monitoring
  • Section 8 : Discovery 1 Lectures 00:11:14

    • Lecture 1 :
    • Analyse Source Systems
  • Section 9 : Dashboards 1 Lectures 00:00:01

    • Lecture 1 :
    • Creating Semarchy Dashboards
  • Section 10 : Security 2 Lectures 00:22:21

    • Lecture 1 :
    • Users and Roles
    • Lecture 2 :
    • Auditing and History
  • Section 11 : Workflows 1 Lectures 00:00:01

    • Lecture 1 :
    • Creating our first workflow
  • Section 12 : Additional Videos 2 Lectures 00:16:49

    • Lecture 1 :
    • Merge,Unmerge from UI
    • Lecture 2 :
    • Other Data Model Components
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388 Course Views

3 Courses

Information Management professional with experience in multiple data management assignments focusing on Master Data Management, Data Governance, Data Quality, Data Integration, Data Migration and Data Analysis. Extensive experience in working as well as leading multiple data management engagements. Also work in close collaboration with the business stakeholders to ensure successful program delivery.
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