Informatica ILM TDM Online Training

Informatica ILM TDM Online Training

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    Introduction

    Informatica Application Information Life cycle Management (ILM) software empowers your IT organization to cost-effectively handle data growth, safely retire legacy systems and applications, optimize test data management and protect sensitive data. This family of software handles every phase of the data lifecycle from creation to disposal for end-to-end information lifecycle management. With the Informatica Application ILM product family, your IT team can better support application optimization, data center and IT consolidation, IT modernization, regulatory compliance, and mergers and acquisitions. Informatica Application Information Lifecycle Management is the best-of breed technology that has not only helped us drive down total cost of ownership but improved performance of mission-critical assets, resulting in significant improvement in customer satisfaction.

    Informatica ILM Online Training Course Content

    1. Introduction to ILM Data Archive

    • Describe Informatica’s approach to data archive
    • Introduction to the ILM Data Archive architecture
    • Identify the components of the Data Archive

    2. System Administration

    • Describe the system configuration
    • Create and manage source and target connections
    • Describe JDBC connectivity
    • Describe auditing

    3. Users and Security

    • Creating and managing users
    • Describing the concepts of system-defined roles
    • Describe the significance of the Administrator role and its privileges
    • Describe the use of security groups
    • Describe the required database privileges
    • Describe the various file archive roles

    4. Informatica Enterprise Data Manager

    • Describe the ILM Enterprise Data Manager (EDM)
    • Describe the EDM architecture
    • Describe the key benefits of using the EDM

    5. ILM Data Archive Web UI

    • Describe the archive process flow
    • Create a source repository
    • Create a target repository
    • Create a security group
    • Create and define an archive project
    • Schedule and run an archive project
    • Monitor the status of the archive job
    • Open and read the Row Count report

    6. ILM Data Archive Web UI Online Restore

    • Describe the restore process
    • Describe the restore flow
    • Describe the various methods to restore an archive
    • Describe a cycle restore project
    • Describe a transaction restore project

    7. Seamless Access

    • Describe and create a seamless access job
    • Introduction to ILM Data Archive
    • ILM Data Archive-Application Retirement
    • Describe Informatica’s approach to Application Retirement
    • Describe Informatica ILM DATA ARCHIVE
    • Explain ILM Data Archive Architecture

    8. ILM File Archive Service (FAS)

    • Describe features and architecture

    9. ILM Application Retirement Project

    • Describe the application retirement process
    • Create a source repository
    • Create a target repository
    • Create a security group
    • Create a retirement project
    • Schedule and run the retirement job
    • Open and read the Row Count report

    10. Handling External Attachments

    • Describe how to manage attachments

    11. Data Discovery Retention Management and Legal Hold

    • Describe Discovery Portal
    • Describe retention management and types of retention
    • Describe significance of legal hold

    12. Data Discovery Retention Management and Legal Hold

    • Describe significance

    Informatica ILM Test Data Management

    1. Test Data Management Introduction & Architecture

    • Test Data Management architecture
    • Test Data Management use cases
    • Components involved in Test Data Management

    2. Terminology

    • Describe a source, target, metadata, repository
    • Describe the role of the IDE in Test Data Management

    3. Data Subset

    • Describe the ILM Test Data Management components used in data subsets
    • Describe applications
    • Describe groups, entities, templates, and plans

    4. Data Masking

    • Describe the ILM Test Data Management components used in data masking
    • Describe cascades
    • Describe rules, policies, and data masking plans

    5. Administrative Tasks

    • Describe and review the various types of reports
    • Describe metadata migration
    • Explore adding roles and assigning permissions

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