Customer 360 Saas Master Data Management In Informatica IDMC

What you'll learn
Understanding Informatica Intelligent Data Management Cloud - IDMC
Key concepts related to Customer 360 in IDMC
Differences between MDM, Data Warehousing, and Data Lakes
Understand what is secure agent and it's role in IDMC
Define chiclets and significance of it
Overview of Customer 360
Overview of Business 360 console
Data Modeling in Customer 360
Understanding ingress an egress jobs
Development of Data Integration mapping
Development of processes in Application Integration
Integrating Application integration processes with Data Integration mapping
Understanding and defining roles and users
Requirements
Basic understanding of Master Data Management
Basic understanding of Data Modeling
Basic understanding of REST Web Services
Basic understanding about Linux/Unix scripting
Good to have knowledge about JSON, XQuery, Python, XML etc
Good to have knowledge about Business Entity Services in Informatica
Optional to have knowledge about MongoDB
Description
'Customer 360 Master Data Management in Informatica IDMC' course is for beginners as well for intermediate who would like to create better career opportunities in the Informatica MDM cloud field. The course focuses on various aspects of Intelligent Data Management Cloud (IDMC) a cloud platform to implement Customer 360 Master Data Management cloud solution. By the conclusion of this course, you will gain the ability to comprehend the following topics: 1. Demystifying Informatica IDMC: A Gateway to Intelligent Data ManagementIntroduction to Informatica's Intelligent Data Management Cloud (IDMC).Overview of IDMC's capabilities Overview of Informatica IDMC Architecture2. Applications Overview with Data Management Concepts and TerminologiesUnderstanding Data Lakes, Data Warehouse and Master Data ManagementKey terminologies in Informatica IDMCOverview of Customer 360 and Business 360 Console3. The Role of Secure Agent in IDMC: Your Data's GuardianExploring what a secure agent in IDMC.Installation and configuration of secure agent in IDMC4. Mastering Data Modeling in Customer 360Overview of Out of the Box Customer 360 Data ModelTechniques and Best Practices for Data modelingUnderstanding Data Types, Smart Fields and Field GroupsConfiguring Source System5. A Comprehensive Overview of Customer 360Creating record in Customer 360 ApplicationPerforming Global SearchPerforming Query based searchUnderstanding Source record and history of the recordPerforming data purge activity6. Cloud Data Integration components of IDMCOverview of Cloud Data Integration Design Mapping, Mapping Tasks and Task Flows in Cloud Data IntegrationDevelopment of Mapping, Mapping Tasks and Task Flows in Cloud Data IntegrationExecution using Task Flows7. Match and Merge process in IDMCOverview of Match and Merge in IDMCCreating Match Model, Match Columns and Match RulesExecute Key Generation processExecuting Match and Merge Job using Business 360 ConsoleExecuting Match and Merge job using API8. Cloud Application Integration component of IDMCOverview of Cloud Application IntegrationUnderstanding Get Session ID APICreating Service Connector,Creating Application Connector9. Synergizing Application Integration Processes with Data MappingDevelop Cloud Application Integration (CAI) ProcessExecuting CAI process using PostmanSwagger file generation and Connection creationCreate Business Service and invoking using Data Integration mapping10. Defining Roles and Users: Building a Secure IDMC EnvironmentOverview of Users and Roles in IDMCCreate new Role in IDMCCreate new User in IDMC and assigning RoleCreating User GroupsBefore starting this course, you need to basic understanding of Informatica Master Data Management (MDM). Basic knowledge of JSON, XQuery, Linux Scripting, XML will also help to understand this course in detail. This course is designed for beginners and intermediate level.
Overview
Section 1: Demystifying Informatica IDMC: A Gateway to Intelligent Data Management
Lecture 1 Introduction to Customer 360 Master Data Management in IDMC
Lecture 2 Overview of IDMC's capabilities
Lecture 3 Architecture of Customer 360 MDM
Section 2: Decoding Customer 360 in the IDMC Ecosystem
Lecture 4 Understanding MDM, Data Warehousing, and Data Lakes
Lecture 5 Key terminologies in IDMC
Lecture 6 How to Access IDMC ?
Lecture 7 Differences between Customer 360 and Business 360 Console
Lecture 8 Overview of Business 360 Console
Lecture 9 Overview of Customer 360 Application
Section 3: The Role of Secure Agent in IDMC: Your Data's Guardian
Lecture 10 Secure Agent Overview
Lecture 11 Download Secure Agent Installer
Lecture 12 Install Secure Agent
Lecture 13 Understanding Secure Agent install setup
Lecture 14 Start and Register Secure Agent
Section 4: Mastering Data Modeling in Customer 360
Lecture 15 Overview of Existing Data Model in Customer 360
Lecture 16 Techniques and Best Practices for Data modeling
Lecture 17 Data Types, Smart Fields and Field Groups
Lecture 18 Out of box Person Business Entity in Customer 360
Lecture 19 Configure Source System
Section 5: A Comprehensive Overview of Customer 360
Lecture 20 Create and Merge Records
Lecture 21 Overview of Global Search
Lecture 22 Filtered Query Search
Lecture 23 Overview of Source Record
Lecture 24 Overview of History Section
Lecture 25 Perform Purge Operation to delete Person data
Section 6: Cloud Data Integration components of IDMC
Lecture 26 What is Cloud Data Integration
Lecture 27 Design Cloud Data Integration Mapping
Lecture 28 Develop simple Cloud Data Integration mapping
Lecture 29 Create Mapping Task for Data Integration mapping
Lecture 30 Create Task Flow for Data Integration mapping
Lecture 31 Create MDM Ingress Job Definition
Lecture 32 Run MDM Ingress Job
Lecture 33 Searching Loaded record
Section 7: Match and Merge in IDMC
Lecture 34 Overview of Match and Merge in IDMC
Lecture 35 Create a Match Model
Lecture 36 Configure Exact Match Rule
Lecture 37 Configure Fuzzy Match Rule
Lecture 38 Create and Run Generate Match Key Job
Lecture 39 Create and Run Match and Merge Job
Lecture 40 Invoke Match and Merge Job using API
Section 8: Cloud Application Integration component of IDMC
Lecture 41 What is Cloud Application Integration
Lecture 42 Understanding Get Session ID API
Lecture 43 Invoke MDM Ingress Job using API
Lecture 44 What is Service Connector?
Lecture 45 Create Service Connector - Get Session ID API
Lecture 46 Create Service Connector - Run MDM Ingres Job API
Lecture 47 What is Application Connector?
Lecture 48 Create Application Connector
Section 9: Synergizing Application Integration Processes with Data Mapping
Lecture 49 Develop Cloud Application Integration (CAI) process
Lecture 50 Execute Application Integration Process using Postman
Lecture 51 Generate Swagger File
Lecture 52 Create CAI Process Connection
Lecture 53 Create Business Service
Lecture 54 Develop Cloud Data Integration mapping to call CAI process
Section 10: Defining Roles and Users: Building a Secure IDMC Environment
Lecture 55 Overview of User and Roles
Lecture 56 Understanding Existing Roles in IDMC
Lecture 57 Create New Role in IDMC
Lecture 58 Create New User in IDMC
Lecture 59 Assign Role to User
Lecture 60 Delete a User and Role
Lecture 61 Create User Group
Section 11: Conclusion
Lecture 62 Important Tips about IDMC
Lecture 63 Summary
Anyone who would like to start working on in Informatica Customer 360 Master Data Management IDMC project,Anyone who would like to pursue better career opportunities in Informatica cloud - IDMC,Anyone who would like to change career from on-premise MDM to Cloud MDM,Anyone who would like to learn Informatica Customer 360 application and it's features
Homepage

https://www.udemy.com/course/customer-360-saas-master-data-management-in-informatica-idmc/

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