Master Data Integration with ENCODE-IT's Informatica PowerCenter Course
Informatica PowerCenter is one of the leading ETL (Extract, Transform, Load) tools used for data
integration, data migration, and data warehousing. With its powerful features, it helps organizations
integrate and manage vast amounts of data from various sources into a central repository. ENCODE-
IT’s Informatica PowerCenter course is designed to provide you with comprehensive training on
how to use this tool effectively. From basic data integration techniques to advanced transformations
and performance tuning, this course will make you proficient in designing, implementing, and
managing ETL processes using Informatica PowerCenter.
Course Curriculum
1. Introduction to Data Integration and Informatica PowerCenter
ï‚· What is Data Integration? Importance in Modern Business
ï‚· Overview of ETL Process: Extract, Transform, Load
ï‚· Introduction to Informatica PowerCenter: Key Concepts and Components
ï‚· Understanding the Informatica PowerCenter Architecture
ï‚· Overview of PowerCenter Designer, Repository Manager, Workflow Manager, and Monitor
2. Setting Up Informatica PowerCenter
ï‚· Installing and Configuring Informatica PowerCenter
ï‚· Setting Up Repositories and Services in Informatica PowerCenter
ï‚· Overview of PowerCenter Client Tools and Their Usage
ï‚· Defining Users, Roles, and Permissions in the PowerCenter Repository
3. Working with PowerCenter Designer
ï‚· Understanding Source and Target Definitions
ï‚· Creating and Managing Source and Target Connections
ï‚· Building and Organizing Mappings in PowerCenter Designer
ï‚· Creating Transformations: Filter, Aggregator, Expression, Router, etc.
ï‚· Implementing Data Transformation Logic and Business Rules
ï‚· Mapping Parameters and Variables
4. Data Extraction and Transformation
ï‚· Extracting Data from Different Sources: Relational Databases, Flat Files, XML, etc.
ï‚· Data Transformation Techniques: Filtering, Sorting, Aggregating
ï‚· Implementing Lookup Transformations for Data Validation
ï‚· Using the Joiner Transformation for Combining Data
ï‚· Performing Data Cleansing and Standardization
ï‚· Handling Null Values and Data Type Conversions
5. Loading Data into Targets
ï‚· Configuring Different Target Connections: Databases, Flat Files, Cloud, etc.
ï‚· Understanding Target Load Strategies: Full Load, Incremental Load
ï‚· Using the Update Strategy Transformation for Data Loading
ï‚· Managing Data Consistency during Loading
ï‚· Best Practices for Efficient Data Loading in Informatica PowerCenter
6. Advanced Transformations in PowerCenter
ï‚· Working with Aggregator and Rank Transformations
ï‚· Implementing the Expression Transformation for Complex Calculations
ï‚· Understanding the Lookup Transformation for Data Enrichment
ï‚· Using the Sorter and Filter Transformations for Data Refinement
ï‚· Utilizing the Router Transformation for Conditional Data Splitting
ï‚· Handling Complex Data Transformation Scenarios
7. Performance Tuning in Informatica PowerCenter
ï‚· Understanding Performance Bottlenecks in ETL Processes
ï‚· Optimizing Source and Target Connections for High Performance
ï‚· Implementing Pushdown Optimization for Transformations
ï‚· Configuring Partitioning for Parallel Data Processing
ï‚· Tuning Session and Workflow Properties for Performance Optimization
ï‚· Monitoring and Logging for Performance Bottleneck Identification
8. Workflows and Sessions in Informatica PowerCenter
ï‚· Understanding Workflows and Sessions in PowerCenter
ï‚· Creating and Configuring Workflows in Workflow Manager
ï‚· Managing Session Parameters and Variables
ï‚· Implementing Workflow Scheduling and Automation
ï‚· Running and Monitoring Workflows and Sessions
ï‚· Handling Workflow Failures and Recovery Mechanisms
9. Error Handling and Troubleshooting in PowerCenter
ï‚· Configuring and Managing Error Handling in Mappings
ï‚· Using the PowerCenter Debugger for Troubleshooting Mappings
ï‚· Implementing Error Logging and Recovery Strategies
ï‚· Handling Data Load Failures and Row-Level Errors
ï‚· Best Practices for Effective Error Handling
10. Data Integration with External Systems and Cloud
ï‚· Integrating with Cloud Data Sources and Applications
ï‚· Using Web Services and APIs for Data Integration
ï‚· Connecting to Big Data Platforms (Hadoop, Spark) using Informatica
ï‚· ETL Processes for Cloud Data Warehouses (Snowflake, Redshift, etc.)
ï‚· Real-Time Data Integration and Event-Driven Processing
11. Data Quality and Data Governance with Informatica PowerCenter
ï‚· Introduction to Data Quality and Governance Concepts
ï‚· Integrating Data Quality Transformations in ETL Processes
ï‚· Using PowerCenter to Ensure Data Consistency and Accuracy
ï‚· Data Stewardship and Monitoring Tools for Governance
ï‚· Handling Master Data Integration and Management
12. Informatica PowerCenter Project Implementation
ï‚· Designing a Full-Scale ETL Process for Data Integration
ï‚· Implementing Best Practices for Data Extraction, Transformation, and Loading
ï‚· Real-World Scenario: Building a Data Warehouse with Informatica PowerCenter
ï‚· Project Review, Reporting, and Presentation
13. Final Project and Certification Exam
ï‚· Final Project: End-to-End ETL Solution Using Informatica PowerCenter
ï‚· Project Evaluation, Data Validation, and Reporting
ï‚· Final Exam: Comprehensive Evaluation of Informatica PowerCenter Skills
ï‚· Certification of Completion from ENCODE-IT and Job Placement Assistance
Key Features of the Course
ï‚· Tools & Platforms: Informatica PowerCenter, Informatica Data Quality, Informatica Cloud
ï‚· Real-World Projects: Gain hands-on experience by working on real-world ETL and data
integration projects.
ï‚· Certification & Placement Support: Receive an ENCODE-IT certification upon completion
and benefit from job placement assistance.
ï‚· Expert Instructors: Learn from industry experts who have extensive experience with
Informatica PowerCenter and data integration processes.
ï‚· Career Advancement: Equip yourself with the knowledge to excel in roles like ETL
Developer, Data Integration Specialist, and Data Warehouse Architect.
Salary Scale in India
The demand for skilled Informatica PowerCenter professionals continues to rise, especially as
businesses turn to data integration for better decision-making and efficiency. Salaries in India for
Informatica PowerCenter professionals are as follows:
 Entry-Level ETL Developers: ₹5 Lakhs to ₹7 Lakhs per annum
 Mid-Level ETL Developers and Consultants: ₹8 Lakhs to ₹12 Lakhs per annum
 Senior ETL Developers and Architects: ₹15 Lakhs to ₹25 Lakhs+ per annum
Professionals with expertise in Informatica PowerCenter are highly sought after in industries such as
finance, healthcare, and retail.
Placement Assistance & Certification
Upon successful completion of the Informatica PowerCenter course, you will receive an ENCODE-IT
Certification, enhancing your profile and career prospects. Our placement assistance team will help
connect you with leading organizations, ensuring you can apply your new skills in a practical, real-
world environment.
Take Your Data Integration Skills to the Next Level with ENCODE-IT!
Enroll now and become an expert in Informatica PowerCenter, gaining the skills needed to design,
implement, and optimize ETL processes in large-scale data integration projects.