MDM: Multidomain & Hierarchy Configuration

• Identify the Master Data
• Informatica MDM Multidomain Edition
• History of the MDM Product
• MDM Hub Core Capabilities
• MDM Hub Architecture
• Batch Data Process Flow
• Trust Framework

• Data Model
• Base Object
• Landing Table
• Staging Table
• Relationships
• Lookups

Lab:

• Create Customer Data Models
• Define Lookups

• Relationships
• Lookups

Lab: 

• Define Lookups

• Overview: The Build Phase
• Review: Application Server Tier Process Server
• Process Server
• Modes of Process Server
• Basic Mappings
• Complex Mappings
• Cleanse Functions
• Constants
• Conditional Execution Components
• Testing Mappings
• Function-Level Logging
• Cleanse Functions & Mappings
• Search & Replace Scenarios
• Cleanse Lists
• Cleanse Lists Inputs
• External Data Cleansing
• Address Cleansing with AddressDoctor
• Delta Detection
• Jobs
• The Stage Process Flow
• Detailed Stage Process Flow
• Batch Viewer
• Staging from INFA VIBE Platform (DQ Developer)

Lab: 

• Register a Process Server
• Create Basic Mapping
• Create Cleanse List & Graph Function in a Mapping
• Run Staging Jobs

• Trust
• Validation Rule
• Load Process

Lab:

• Set Trust, Validation Rules, Cell Update, & Null Update
• Run Loading Jobs

• Purpose of the Matching & Merging
• Distinguish between Exact matching & Fuzzy matching
• Purpose of match rules
• Match Path

Lab:

• Setting Match Strategy, Match Columns, & Match Path

• Exact Match process
• Match Rule sets
• Exact match filtering
• Configure an Exact match rule
• Configure a Range Search for the Match Rule Set

Lab: 

• Configure an Exact Match Rules Set & a Range of Search

• Fuzzy matching
• Benefits of populations
• Configure a Range of search
• Fuzzy match process filtering
• Design Match Keys Distribution
• Fuzzy Match Rule Set

Lab: 

• Configure a Fuzzy Match Rule Set

• Merge process
• Create Merge settings
• Automatic versus Manual Merge methods
• External matching

Lab: 

• Setting Merge Options for Match Rules

• Queries
• Query Types
• Effect of Schema Changes
• Impact Analysis Tool
• Packages
• Package Types

Lab: 

• Create Queries & Packages

• Review: Batch Processes
• Overview: Batch Processes
• Batch Group
• Batch Group Execution

Lab: 

• Configure Batch Groups

• Role of the Data Steward
• Review: Consolidation Flags
• Merge Manager
• Data Manager
• Unmerge & Tree Unmerge
• Data Manager Tool

Lab:

• Merge Records Using Merge Manager
• Unmerge Records using Data Manager

• Informatica Data Director (IDD)
• Hierarchy Manager
• Hierarchy in IDD
• Entity 360 View
• Repository Manager
• Security Access Manager (SAM)
• Data Encryption
• Dynamic Data Masking (DDM)
• State Management
• Message Queues
• Workflow
• Workflow Manager

Lab: 

• Export an ORS to a Change list

• Master Data Management
• Challenges of Managing Relationships
• Hierarchy Management
• Hierarchy Manager in MDM

• System Repository Base Objects
• Hierarchy Elements
• Entity Icons
• Connecting to Hierarchy Manager
• Lab: Connecting to the ORS & creating the system repository base objects

• Entities
• Entity Types
• Entities, Entity Objects, & Entity Types

Lab:

• Converting Base Objects to Entity Base Object
• Creating New Entity Base Objects
• Creating Entity Types
• Working with Entity Types

• Hierarchies
• HM Relationship Types
• Relationships & Relationship Types

Lab:

• Editing Hierarchies & Using a Query to View the Hierarchy Objects
• Converting Base Objects to Relationship Base Objects
• Creating Foreign Key Relationship Objects
• Creating New Relationship Objects
• Creating, Editing, & Deleting Relationship Types

• HM Packages
• HM Package Groups

Lab:

• Creating Relationship Object Packages
• Creating FK Relationship Object Packages
• Creating Entity Object Packages

• HM Profiles
• HM Profiles & Roles
• HM Profiles & Packages

Lab: 

• Creating New Profiles & assigning Packages to Profile Objects

• Migrating the Records from Landing to BO
• Populate the Model

Lab:

• Loading the HM Data
• Test the HM Implementation

• Enterprise Manager
• MDM Hub Console Log File
• User Objects
• User Object Registry Tool
• User Exits
• User Exits in the STAGE Process
• User Exits in the LOAD Process
• Post load Parameters
• User Exits in the MATCH Process
• Post match Parameters
• User Exits in the MERGE Process
• Post merge Parameters
• User Exits in the UNMERGE Process
• Post unmerge  Parameters

A: People who are associated with IT & computers get the concept easily. Business officials can understand MDM as it is very useful in official work.

A: There are two different locks that use Informatica MDM 10.1 & i.e.

• Exclusive Lock: This Lock is able to allow access to a single user to make various changes to the underlying ORS & also blocks other users from modifying meta-data in the ORS till the exclusive lock exits.
• Write Lock: This lock is able to allow multiple users at a time to amend the underlying metadata.

A: Schema is basically a data model which is being used in the implementation of the Siperian hub. Generally, the Siperian hub does not require any specific schema. Siperian hub contains schema & it is independent.

A: The hierarchy manager helps users to manage hierarchy data which is associated with the records that users manage in MRM. Applications provide different data to MRM and also store relationship data across master data.

This system easily creates high complexity in managing data relationships because each application is different from others & has a unique hierarchy. Similarly, every data mart & data warehouse is developed to reflect relationships that are required for specific purposes.

A: Radiant has highly intensive selection criteria for Technology Trainers & Consultants who deliver training programs. Our trainers & consultants undergo rigorous technical & behavioral interviews & assessment processes before they are onboarded in the company.

Our Technology experts/trainers & consultants carry deep-dive knowledge in the technical subject & are certified by the OEM.

Our training programs are practically oriented with 70% – 80% hands-on training technology tools. Our training program focuses on one-on-one interaction with each participant, the latest content in the curriculum, real-time projects & case studies during the training program.

Our faculty will provide you the knowledge of each training from a fundamental level in an easy way & you are free to ask your doubts any time from your respective faculty.

Our trainers have the patience & ability to explain difficult concepts in a simplistic way with depth & width of knowledge.

To ensure quality learning, we provide support sessions even after the training program.

A: Radiant Techlearning offers a training program on weekdays, weekends & a combination of weekdays & weekends. You can always choose the schedule that best suits your need.

A: We would always recommend you attend the live session to practice & clarify the doubts instantly & get more value from your investment. However, if, due to some contingency, you have to skip the class, Radiant Techlearning will help you with the recorded session of that particular day. However, those recorded sessions are not meant only for personal consumption & NOT for distribution or any commercial use.

A: Radiant Techlearning has a data center containing the Virtual Training environment for the purpose of participant hand-on-practice. 

Participants can easily access these labs over Cloud with the help of a remote desktop connection. 

Radiant virtual labs provide you the flexibility to learn from anywhere in the world & in any time zone. 

A: The learners will be enthralled as we engage them the real-world & industry Oriented projects during the training program. These projects will improve your skills & knowledge & you will gain a better experience. These real-time projects will help you a lot in your future tasks & assignments.