Informatica PowerCenter Training Syllabus
Informatica PowerCenter Training
Master ETL Development and Data Integration
🎓 Certification Ready Course
This syllabus prepares you for Informatica PowerCenter certification with hands-on labs and real-world scenarios
Module 1: Data Warehousing Fundamentals
3 hoursCore Data Warehouse Concepts 1.5 hours
What You Will Learn:
- Understand Data Warehouse and Data Mart architectures
- Differentiate between OLAP and OLTP systems
- Design staging areas for ETL processes
- Implement dimensional modeling techniques
Advanced Data Modeling 1.5 hours
What You Will Learn:
- Design Star and Snowflake schemas
- Implement Slowly Changing Dimensions (Type 1, 2, 3)
- Work with Fact tables and Confirmed Dimensions
- Create aggregation tables and implement Change Data Capture
Module 2: PowerCenter Architecture & Components
2 hoursPowerCenter Components 1 hour
What You Will Learn:
- Navigate Informatica Designer interface
- Use Repository Manager for metadata management
- Create and monitor workflows in Workflow Manager
- Track job execution with Workflow Monitor
PowerCenter Architecture 1 hour
What You Will Learn:
- Understand PowerCenter server architecture
- Work with Source Qualifier transformations
- Design mappings and mapplets
- Configure sessions and tasks
Module 3: Sources & Targets Configuration
2 hoursWorking with Data Sources 1 hour
What You Will Learn:
- Connect to relational databases as sources
- Configure flat file sources with proper formatting
- Handle different source data types
- Implement source data validation
Working with Data Targets 1 hour
What You Will Learn:
- Configure relational database targets
- Set up flat file targets with proper formatting
- Implement target load ordering
- Handle bulk vs normal loading strategies
Module 4: Core Transformations
4 hoursBasic Transformations 2 hours
What You Will Learn:
- Implement Expression transformations for data manipulation
- Configure Lookup transformations for reference data
- Use Sequence Generator for surrogate keys
- Apply Filter and Router transformations for data routing
Advanced Transformations 2 hours
What You Will Learn:
- Implement Joiner transformations for data integration
- Use Aggregator for summary calculations
- Configure Update Strategy for CDC
- Apply Rank and Transaction Control transformations
Module 5: Transformation Language & Functions
2 hoursPowerCenter Functions 2 hours
What You Will Learn:
- Use numeric functions for calculations
- Apply string functions for text manipulation
- Implement date functions for temporal operations
- Create user-defined functions for custom logic
Module 6: Advanced PowerCenter Concepts
5 hoursAdvanced Transformations & Reusability 2 hours
What You Will Learn:
- Implement unconnected lookups and stored procedures
- Create and use mapplets for reusable logic
- Define reusable transformations
- Work with worklets for modular workflow design
Session Management & Optimization 2 hours
What You Will Learn:
- Configure session parameters and recovery
- Implement mapping parameters and variables
- Apply push-down optimization techniques
- Use PMCMD and PMREP utilities
Lookup Cache Strategies 1 hour
What You Will Learn:
- Configure static and dynamic lookup caches
- Implement persistent lookup caching
- Use shared lookup caches for performance
- Manage sorter and rank caches efficiently
Module 7: Workflow Tasks & Scheduling
2 hoursTask Management 2 hours
What You Will Learn:
- Configure different task types (Session, Command, Email)
- Implement event-based workflows
- Use timer and decision tasks
- Schedule workflows for automated execution
Module 8: ETL Testing & Performance Tuning
2 hoursETL Testing & Optimization 2 hours
What You Will Learn:
- Perform unit testing and system integration testing
- Conduct performance testing of ETL processes
- Apply performance optimization techniques
- Debug and troubleshoot mapping issues
Real-World Informatica PowerCenter Use Cases
Financial Services
Integrate transaction data from multiple banking systems into centralized data warehouse for regulatory reporting and customer analytics
Process large volumes of trading data to calculate risk exposure and compliance metrics in real-time
Create unified customer profiles by integrating data from banking, investment, and insurance systems
Healthcare & Life Sciences
Integrate patient data from EHR systems, lab results, and clinical trials for research and treatment optimization
Automate ETL processes for insurance claims data to detect fraud and optimize reimbursement cycles
Process clinical trial data and research findings to accelerate drug discovery and regulatory submissions
Retail & E-commerce
Consolidate sales data from POS systems, e-commerce platforms, and mobile apps for business intelligence
Integrate inventory data across warehouses and stores to optimize stock levels and reduce carrying costs
Process customer interaction data to create personalized marketing campaigns and improve customer retention
Manufacturing & Supply Chain
Integrate data from suppliers, manufacturing systems, and logistics providers to optimize supply chain operations
Process sensor data and quality metrics from production lines to identify defects and improve product quality
Integrate equipment sensor data with maintenance records to predict failures and schedule preventive maintenance