Informatica IDMC CDI ( Cloud Data Integration) - IICS ETL Live Training

Master Informatica IDMC CDI (IICS) with InventModel’s live, instructor-led training designed for professionals aiming to excel in Cloud Data Integration and ETL. This comprehensive program covers end-to-end concepts including data mappings, transformations, task flows, automation, and real-time integration through hands-on labs and real-world projects. Guided by certified Informatica experts, participants gain deep technical knowledge, best practices for data migration and cloud architecture, and practical skills aligned with industry use cases and certification goals. Whether you’re enhancing your current data career or entering the analytics domain, this course empowers you to confidently implement and manage Informatica solutions in enterprise environments.

Created By: Team InventModel

4.5 (2123 Ratings) • 9876 Students Enrolled

Requirements

Demo Video:

Demo session - Informatica IDMC CDI Live training


Pre-requisite - We will start from very Basic and will go to advance level, no prior experience needed in any tools.

Job scopeThis is one of leading Cloud ETL tool in market, having very huge demand globally. we have multiple openings with us for many of our clients. demand is very high and supply of resources are very less.

You will get one Certification from Informatica for sure, we will take complete responsibility for this.

You are directly connecting with trainer, so you can connect with me anytime after training completion as well. You can rejoin other batches anytime for revision.

IDMC CDI all important CDI Services will be covered like CDI, ETL, Data integration and Data loading etc. integration between ETL, CDI and SQL

200 + Real-time project scenarios will be covered.

1 Real-time Projects will be covered.

All Basic and Advance topics will be covered.

All topics related to Installation, Development, Testing and Support will be covered.

Separate and dedicated classes for Resume preparation, Interview preparation and Job support.

Trainer Profile - Trainer having 18+ years of IT experience working as solution architect for big MNC.

LAB Access for Practice - We will instruct you to get LAB access directly from Informatica. Informatica will provide Cloud access for practice.

Duration - 40 Hours ( 30 Hours live session and 10 hours assignments).

Fee is Rs 9,000 for self paced video only and Rs 19,000 for Live classes.

Course Description

Demo Video:

Demo session - Informatica IDMC CDI Live training

Course Content:

Module 1: Informatica Cloud Overview

  1. What’s Is ETL/Concepts Informatica Basics

  2. Informatica Intelligent Cloud Services (IICS) as an iPaaS solution

  3. Informatica Cloud Terminologies

  4. Informatica Cloud Architecture

  5. CDI Assets

  6. CDI Components

  7. Lab: Navigating the IICS interface 

Module 2: Runtime Environments and Connections

  1. Runtime Environments

  2. Secure Agent Architecture

  3. IICS Log Files

  4. Connections

  5. Connection Types

  6. Creating Connections

  7. Lab: Installing Secure Agent

  8. Lab: Creating a Salesforce connection -- Basic

  9. Lab: Creating a Flat File connection

  10. Lab: Creating a AWS Redshift/S3 connection/Athena

  11. Lab: Creating an Oracle connection

Module 3: Synchronization Task

  1. Synchronization Task Overview

  2. Synchronization Task – Definition Step

  3. Synchronization Task – Source Step

  4. Synchronization Task – Target Step

  5. Synchronization Task – Data Filters Step

  6. Synchronization Task – Field Mapping Step

  7. Synchronization Task – Schedule Step

  8. Activity Monitor

  9. Lab: Creating a Synchronization Task

  10. Lab: Using Filter, Expression and Lookup in a Synchronization Task

Module 4: Cloud Mapping Designer

  1. Cloud Mapping Designer Overview

  2. Mapping Designer Terminologies

  3. CLAIRE Transformation Recommendations

  4. Mapping Data Preview

  5. Field Rules

  6. Best Practices for Creating Mappings

  7. Data flow run order

  8. Mapping Task

  9. Deploy mapping updates

  10. Note: Components / Mapplets and taskflow

Module 5: Cloud Mapping Designer - Transformations

  1. Source Transformation

  2. Target Transformation

  3. Filter Transformation

  4. Joiner Transformation

  5. Expression Transformation

  6. Lookup Transformation

  7. Union Transformation

  8. Mapplets

  9. SQL Transformation

  10. Aggregator Transformation

  11. Normalizer Transformation

  12. Rank Transformation

  13. Sequence Generator Transformation

  14. Java Transformation

  15. Lab: Using Query in a Mapping

  16. Lab: Using Normalizer, Aggregator, and Rank transformations in a mapping

  17. Lab: Using Unconnected Lookup transformation in a mapping

  18. Lab: Using Mapplet transformation in a mapping

Module 6: Mapping Parameters

  1. Note : All Param files on S3 and use it.

  2. Parameterization use cases

  3. Adding Parameters to a Mapping

  4. Creating parameters

  5. Parameter Types

  6. Using parameter files

  7. Parameter Best Practices

  8. Lab: Performing Complete Parameterization

  9. Lab: Using Parameter File in a Mapping task

  10. Lab: Using In-Out parameters for incremental data loading 

Module 7: Expression Macro and Dynamic Linking

  1. Expression Macro

  2. Dynamic Linking

  3. Lab: Using Expression Macro in a mapping

  4. Lab: Using Dynamic Linking in a mapping 

Module 8: Replication Task

  1. Replication Task Overview

  2. Replication Task Features

  3. Replication Task: Source and Target Options

  4. Other Replication Task Options

  5. Resetting the Target Table

  6. Generating Non-Unique Index

  7. Lab: Create a Replication Task  

Module9: Masking Task

  1. Masking Task Overview

  2. Masking Task: Source and Target Options

  3. Data Subset: Row Limits and Data Filters

  4. Field Masking Rules

  5. Masking Rule Types

  6. Refresh Masking Task metadata

  7. Reset a Masking Task

  8. Masking Best Practices

  9. Lab: Create Masking task

Module 10: Mass Ingestion Task

  1. Mass Ingestion Task Overview

  2. Functionalities

  3. Configuring a Mass Ingestion Task

  4. Creating a Mass Ingestion Task

Module 11: Taskflows

  1. Task flow overview

  2. Linear Taskflows

  3. File Listener Enhancements

  4. Taskflow Steps

  5. Taskflow Templates

  6. Using REST APIs

  7. Invoke a Taskflow through a File Listener

  8. Lab: Passing in-out parameters in a Taskflow

  9. Lab: Invoking a Taskflow through a File Listener 

Module 12: Hierarchical Connectivity

  1. Web Service transformation

  2. REST V2 Connector

  3. Hierarchical Schemas

  4. Hierarchy Parser Transformation

  5. Hierarchy Builder Transformation

  6. Lab: Creating a mapping using a REST V2 connector

  7. Lab: Using Web Services transformation in a mapping

  8. Lab: Using Hierarchy Parser and Hierarchy Builder Transformation

Module 13: Intelligent Structure Model

  1. Intelligent Structure Model

  2. Intelligent Structure Discovery Process

  3. Intelligent Structure Example

  4. Refining a Discovered Structure

  5. Editing an Intelligent Structure Model

  6. Using intelligent structure models in Structure Parser transformation

  7. Lab: Creating an Intelligent Structure Model

  8. Lab: Using Structure Parser transformation in a mapping 

Module 14: Advanced Task Settings and Performance Tuning

  1. Primary Key Chunking

  2. Lookup SQL Override

  3. Partitions Overview

  4. Types of Partitions

  5. Partitioning Rules and Guidelines

  6. Pushdown optimization overview

  7. Types of pushdown optimization

  8. Cross-schema pushdown optimization

  9. Pushdown optimization user-defined parameters

  10. Pushdown compatible connections

  11. Secure agent groups

  12. Secure agent groups with multiple agents

  13. Shared secure agent groups

  14. DTM performance properties

Module 15: Exception Handling

  1. Types of exceptions

  2. User-defined exceptions

  3. Non-fatal exceptions

  4. Default Field Value Setting

  5. Row Error Logging

  6. Error handling settings

  7. Fatal exceptions

  8. Bad files or Reject files

  9. Lab: Creating a mapping to handle non-fatal errors 

Module 16: Administration

  1. Licenses

  2. Administrator Service

  3. User Roles (System-defined Roles and Custom Roles)

  4. Creating a User

  5. User Groups

  6. Permissions

  7. Object-Level Permissions

  8. Organization Hierarchy

  9. Sub-Organization

  10. Importing and Exporting Assets

  11. Asset Dependency

  12. Add-on Bundles

  13. Lab: Configure Administrative settings for your Informatica Cloud org 

Module 17: Automating and Monitoring Tasks

  1. Schedules

  2. Schedule Repeat Frequency

  3. Schedule Blackout Period

  4. Schedule Export

  5. Monitoring tasks

  6. Email Notifications

  7. Event Monitoring

  8. Lab: Creating a schedule

  9. Module 20: Operation Insight

  10. Discuss Informatica Discovery IQ

  11. List the features of Discovery IQ

  12. Exploring Discovery IQ features

Module 18: External Tool & Practical (Scenario Based )

  1. Trial Account : Snowflake , Saleforce ,Oracle,IICS,Postman

  2. Scenario Based Practical’s

  3. CDC

  4. SCD1/SCD2/SCD3 

Module 19 : Additional

  1. PC to IICS Migration

  2. Certifications Questions/Dumps

  3. Sample Project explanation on IICS

  4. Sample Resume/Points on IICS

Practice Handbook for Scenario

 

Course Content

Level Advanced • 2 Lectures • 40 Hour

Day1 to Day15

Day16 to Day30

Course Reviews

4.5 Based on 2123 Reviews
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“InventModel conducted a customized Informatica IDMC CDI workshop for our global data team. The training quality, structure, and post-training support exceeded expectations. Our engineers are now confidently handling complex cloud integrations.” — Senior Manager – Data Platforms, GlobalTech Corp

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Anuradha Singh

“This course bridges the gap between theory and real-world implementation. I especially liked the hands-on projects on cloud data pipelines and performance optimization. InventModel’s instructors bring valuable industry experience to every session.” — Data Integration Consultant

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Keshav

“We engaged InventModel to upskill our analytics team on Informatica Cloud Data Integration. The training was tailored to our environment, and the instructor demonstrated excellent knowledge of IDMC architecture and ETL automation. Our team productivity has improved significantly.” — Delivery Head – Data & Analytics, TechNova Solutions

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Nisa pandey

“InventModel’s training helped me clear my Informatica IDMC certification on the first attempt. The live sessions, assignments, and interview preparation sessions were extremely helpful. Highly recommended for anyone serious about cloud data integration.” — BI Developer

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Pravin

“The Informatica IDMC CDI training by InventModel was highly practical and easy to follow. The instructor explained complex concepts like mappings, task flows, and data pipelines with real-time examples. I feel confident to handle ETL projects independently now.” — Data Engineer developer

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Kevin
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₹9,000.00₹29,000.00
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