• Master Data Management
• A Reliable  Foundation  Of  Master Reference Data
• Components  of MDM Hub
• Application  Server  Tier
• Database  Server Tier
• Batch Data Process Flow
• Trust  Framework
• Consolidation  Flag

• Data  Model  Elements
• Data Model
• Relationships
• Relationship  Types
• Lookups
• Global  Business  Identifier (GBID)

• Basic  Mappings
• Complex Mappings
• Cleansing  and  Transforming  Data
• Execution  Component
• Testing  Mappings
• Reusable  Cleanse  Components
• External  Data  Cleansing
• Delta  Detection &  Audit  Trail
• Rejects
• Cleanse  Match Servers
• High-Level  Stage  Process  Flow
• Detailed  Stage  Process Flow

• Trust
• Validation  Rule
• Trust & Validation  Rules: Things  to note
• Cell  Level  Update
• Allow NULL  Update
• Allow NULL Foreign Key
• How the  Load  work

• Match & Merge Overview
• Key Activities  for Configuring  Rules
• Match/Search Strategy for Base Object
• Population
• Match Path, Columns and  Match  Key
• Match Rules and Rule Sets
• Primary Key Match Rules
• Match Rules using  Primary Key Match
• Match Keys Distribution
• Merge Settings
• Match/ Merge Properties: Merge Style Base Object
• External Match
• Match Server Architecture

• Queries & Packages Overview
• Query
• Package

• Batch Viewer
• Batch Group
• Executing Stored Procedures
• Scheduling  Considerations
• Job Status & Job Statistics

• Data Stewardship
• Recap: Consolidation  Flags
• Merge Manager
• Data Manager
• Unmerge and Tree Unmerge

• User Objects
• User Object Registry Tool
• User Exits in Java
• User Exits in the STAGE Process
• User Exits in the LOAD Process
• User Exits in the MATCH Process
• User Exits in the MERGE Process
• User Exits in the UNMERGE Process

• Enterprise Manager
• Hub Server Tab
• Cleanse Servers Tab
• Environment  Report  Tab
• ORS Databases Tab
• Database Log File
• Application Server Log
• Cleanse/ Match Server Logs
• Console Log

• Entities & Entity Type
• HM Relation ships
• HM Hierarchies
• Hierarchy Management
• HM Profiles
• HM Packages

• Users, Resources, Privileges & Roles
• Resources
• Resource Groups
• Privileges
• Roles

• Introduction to Siperian SIF
• SIF Framework
• SIF Features & Benefits
• SIF & Integration
• Interacting with SIF
• SIF Architecture & Protocols
• SIF Request Object with Examples
• Processing Responses
• About Record
• SIF APIs with Examples
• ORS Specific APIs
• Introduction to SIF Manager
• Logging
• Auditing

• IDD Configuration
• Business Data Director – User Interface
• Create, Manage, Consume And Monitor
• Data Model Elements
• Configuration File
• Subject Area
• Subject Area Groups
• BDD Data Display
• Relationships
• Application Validation
• Importing an Application
• Match Paths
• Lookup
• Cleansing
• Resources and Privileges

• What are a Message Queues
• Create a Message Queue in Application server
• Configure the ORS Specific Schema
• Test the Queue
• Configure the MRM to the Queue
• Checking Message Queue count in App server.
• Publish Message to the Queues

• Job scheduling
• Creation of ORS
• Installation
• Load by Rowid Object
• External Matching

There are no specific prerequisites for training in Informatica MDM. However, functional knowledge on Master Data Management, and Data Flow is an added advantage.

This popular module is designed keeping in view the end user.

Informatica Master Data Management is part of the company’s Intelligent Data Platform. It’s designed to make data discovery and compliance easier for business analysts. This data management portfolio of applications benefits organizations that need to create a central, single version of their business data that resides in different applications, business units and third-party systems.

Informatica Master Data Management includes six applications: Business Process Management (BPM), Cloud Customer 360 for Salesforce, Identity Resolution and Management, MDM Business Applications, Multi Domain MDM, and Product 360 (Product Information Management, or PIM).

The two main features aimed at business users are the graphical user interfaces tailored for different types of data access (e.g., sales and product data) and customizable workflows to suit each business user’s requirements.

Because Informatica Master Data Management is part of the company’s Intelligent Data Platform ecosystem, some core governance-related capabilities aren’t available in the MDM product line but are available in separate product lines. For instance, the Data Security tool handles data masking and data archiving, while the Data Quality tool handles business rule definitions, business glossary, metadata management, search and discovery, and data profiling.

Yes.

You can join the online classroom and get comfortable, check out the training and clear all your doubt on the topic with Asha24 expert.

To maintain health communication within the participants and the trainer, we have a limited number of participants but join for the demo session will be highly advantages to the participant.

The instructor is a highly qualified industry expert with years of relevant IT experience.

Each of them has undergone a rigorous selection process and have been scrutinized on their subject before being awarded as Asha24’s Experts