Unlock the Power of Data Integration with ENCODE-IT's Informatica ETL Course

Informatica ETL (Extract, Transform, Load) is one of the most widely used data integration tools for
data extraction, transformation, and loading across diverse systems. Whether you're looking to
move data from multiple sources into data warehouses, cleanse and transform it, or ensure
seamless data migration, Informatica ETL can help streamline these processes with efficiency and
accuracy. ENCODE-IT’s Informatica ETL course is designed to provide you with a strong foundation in
using Informatica tools for ETL, focusing on practical skills that are highly valued in data
management and integration roles. This course will empower you to integrate, transform, and
manage data using Informatica's ETL tool, ensuring smooth data flows for business intelligence,
reporting, and analytics.

Course Curriculum

1. Introduction to ETL and Informatica
 What is ETL? Understanding the Extract, Transform, Load Process
 Importance of ETL in Modern Data Warehousing and Business Intelligence
 Introduction to Informatica PowerCenter and its Architecture
 Overview of Informatica ETL Tools and Components
 Setting Up Informatica PowerCenter: Installation and Configuration

2. Informatica PowerCenter Designer Overview
 Navigating PowerCenter Designer Interface
 Creating and Managing Source and Target Definitions
 Understanding Metadata and its Role in ETL Processes
 Introduction to Transformations: Key Types and Functions
 Designing and Organizing Mappings in PowerCenter Designer

3. Data Extraction in Informatica ETL
 Extracting Data from Various Sources: Relational Databases, Flat Files, XML, and More
 Defining and Configuring Source Connections
 Handling Complex Source Data Structures: Nested Data and Hierarchical Data
 Using Source Qualifier for Data Extraction and Filtering
 Implementing Error Handling in Extraction Phase

4. Data Transformation Techniques
 Understanding Data Transformation: Cleaning, Filtering, and Aggregating

 Common Informatica Transformations: Expression, Filter, Aggregator, and Joiner
 Implementing Complex Transformations: Lookup, Router, and Rank
 Data Cleansing: Handling Null Values, Duplicate Data, and Invalid Records
 Business Rules Implementation through Transformations
 Advanced Data Transformations and Custom Logic in ETL Processes

5. Data Loading into Targets
 Overview of Target Load Strategies: Full Load, Incremental Load, and Delta Load
 Loading Data into Relational Databases, Flat Files, and Data Warehouses
 Managing Data Consistency and Integrity during Load
 Configuring Update Strategies for Managing Data Changes
 Optimizing Data Load Performance in Informatica ETL
 Handling Target Table Design and Constraints

6. Error Handling and Troubleshooting
 Common ETL Errors and their Resolution Techniques
 Debugging and Troubleshooting ETL Mappings and Sessions
 Implementing Logging and Session Log Management
 Error Recovery and Data Validation Procedures
 Best Practices for Error Handling in ETL Workflows

7. Optimizing ETL Processes in Informatica
 Performance Tuning for ETL Jobs in PowerCenter
 Configuring Parallel Processing and Partitioning for Faster Data Loads
 Pushdown Optimization: Offloading Transformations to Databases
 Optimizing Session and Workflow Performance
 Monitoring and Analyzing ETL Performance with Informatica Workflow Monitor
 Handling Large-Scale Data Integrations with Minimal Resource Usage

8. Informatica Workflow Management
 Introduction to Workflows and Sessions in Informatica PowerCenter
 Creating and Managing Workflows and Workflow Tasks
 Scheduling and Automating ETL Jobs
 Managing Dependencies and Workflow Execution Order
 Configuring and Running Sessions within Workflows

 Monitoring and Logging Workflows in PowerCenter

9. Data Quality and Data Governance in ETL
 Introduction to Data Quality Concepts in ETL
 Using Informatica Data Quality Tools for Cleansing and Profiling Data
 Integrating Data Quality Transformation into ETL Jobs
 Data Governance Best Practices for Ensuring Data Integrity
 Data Stewardship and Governance Policies for ETL Projects

10. Advanced ETL Topics
 Real-Time Data Integration with Informatica PowerCenter
 Handling Slowly Changing Dimensions (SCD) in Data Warehousing
 Advanced Data Aggregation Techniques
 Using Version Control for ETL Jobs and Mappings
 Managing Metadata and Auditing ETL Processes
 Integrating with Other Informatica Products (Data Governance, Cloud Data Integration)

11. Informatica ETL Project Implementation
 Real-World ETL Project Implementation: Designing, Developing, and Testing ETL Jobs
 Implementing an ETL Pipeline for a Data Warehouse
 Hands-On Project: Data Migration from Legacy Systems to Data Warehouse
 Data Cleansing and Transformation for Business Intelligence Applications
 End-to-End Data Integration and Loading Solutions

12. Final Project and Certification Exam
 Final Project: Building a Comprehensive ETL Solution Using Informatica PowerCenter
 Project Evaluation, Reporting, and Presentation
 Final Exam: Comprehensive Evaluation of ETL and Informatica Skills
 Certification of Completion from ENCODE-IT and Job Placement Assistance

Key Features of the Course
 Tools & Platforms: Informatica PowerCenter, Informatica Data Quality, Informatica Cloud,
and Data Governance
 Real-World Projects: Gain hands-on experience by working on real-world ETL and data
integration projects.

 Certification & Placement Support: Receive an ENCODE-IT certification upon completion,
along with job placement assistance.
 Expert Instructors: Learn from experienced instructors who are experts in Informatica ETL
and data integration processes.
 Career Advancement: Position yourself for roles like ETL Developer, Data Integration
Specialist, and Data Warehouse Architect.

Salary Scale in India
The demand for Informatica ETL professionals remains strong as organizations across sectors require
efficient data integration solutions. The salary expectations for Informatica ETL professionals in India
are as follows:
 Entry-Level ETL Developers: ₹5 Lakhs to ₹8 Lakhs per annum
 Mid-Level ETL Developers and Consultants: ₹8 Lakhs to ₹15 Lakhs per annum
 Senior ETL Developers and Architects: ₹15 Lakhs to ₹25 Lakhs+ per annum
With expertise in Informatica ETL, professionals are highly sought after in industries such as finance,
healthcare, retail, and technology.

Placement Assistance & Certification
Upon successful completion of the Informatica ETL course, you will receive an ENCODE-IT
Certification, which will make you stand out in the job market. Our placement assistance team will
work closely with you to connect you with top companies, ensuring that you can apply your
newfound skills in real-world data integration and management projects.

Take Your ETL Skills to the Next Level with ENCODE-IT!
Enroll now in the Informatica ETL course and learn the most essential skills for working with one of
the top ETL tools in the industry. Become proficient in managing complex data integrations and help
your organization unlock the full potential of its data.