Informatica Training
Introduction to Informatica
Gain an overview of Informatica, a leading data integration and management platform. Learn about its core features, architecture, and benefits for managing and integrating data across various systems.
Getting Started with Informatica
Learn the basics of Informatica. Understand the installation process, user interface, and essential tools for setting up and configuring Informatica environments.
Data Integration and ETL
Explore data integration and ETL (Extract, Transform, Load) processes with Informatica. Learn how to design and implement data integration workflows, transform data, and load it into target systems.
Data Quality Management
Discover data quality management practices using Informatica. Learn about profiling, cleansing, and validating data to ensure its accuracy, completeness, and reliability.
Data Governance
Understand data governance principles and practices with Informatica. Learn about implementing data governance policies, managing data standards, and ensuring compliance with regulatory requirements.
Master Data Management (MDM)
Learn about Master Data Management (MDM) using Informatica. Explore techniques for managing and maintaining master data across different domains to achieve a single, accurate view of business information.
Advanced Informatica Features
Delve into advanced features and customization options in Informatica. Learn about complex data integration scenarios, advanced transformation techniques, and integrating Informatica with other enterprise systems.
Performance Optimization
Discover performance optimization techniques for Informatica. Learn how to optimize data processing, manage resources efficiently, and enhance overall system performance.
Deployment and Management
Understand deployment and management practices for Informatica solutions. Learn about deploying Informatica in various environments, managing data integration repositories, and ensuring effective data management.
Hands-On Labs and Practical Projects
Engage in hands-on labs and practical projects to apply your knowledge of Informatica. Work on real-world scenarios to develop practical skills in data integration, quality management, and governance.
Informatica Syllabus
Data Warehousing Concepts
- Data Warehouse
- Data Mart
- OLAP vs OLTP
- Data Warehouse Architecture (Basic)
- Data Warehouse Architecture (with a Staging Area)
- Dimensional Modeling
- Star Schema
- Snowflake Schema
- Dimension
- Fact
- Slowly Changing Dimension (Type 1, 2, and 3)
- Hierarchy
- Confirmed Dimension
- Factless Fact Table
- Summary / Aggregations Table
- Change Data Capture
Power Center Components
- Designer
- Repository Manager
- Workflow Manager
- Workflow Monitor
Informatica Concepts and Overview
- Informatica Architecture
- Source Qualifier
- Target Designer
- Transformations
- Mappings
- Mapplets
- Sessions
- Tasks
Sources
- Working with Relational Sources
- Working with Flat Files
Targets
- Working with Relational Targets
- Working with Flat File Targets
Transformations
- Expression Transformation
- Lookup Transformation
- Sequence Generator Transformation
- Filter Transformation
- Joiner Transformation
- Sorter Transformation
- Procedural Transformation
- Router Transformation
- Aggregator Transformation
- Update Strategy Transformation
- Union Transformation
- Rank Transformation
- Transaction Control Transformation
- Normalizer Transformation
- Source Qualifier Transformation
- Stored Procedure Transformation
- XML Source Qualifier Transformation
- Debugging Mappings
Power Center Transformation Language
- Numeric Functions
- String Functions
- Date Functions
- Conversion Functions
- Cleansing Functions
- Aggregate Functions
- User Defined Functions
Advanced Informatica Concepts
- Unconnected Lookup Transformation
- Unconnected Stored Procedure to Create and Drop Index
- Mapplet and Types of Mapplets
- Defining Reusable Transformations
- User Defined Functions
- Tasks and Types of Tasks
- Worklet and Types of Worklets
- Scheduling Workflow
- Constraint Based Load Ordering
- Target Load Plan
- Types of Batch Processing
- Link Conditions
- Mapping Parameters
- Mapping Variables
- Defining Session Parameters
- Session Recovery
- Difference Between Normal and Bulk Loading
- Push Down Optimization
- PMCMD Utility
- PMREP Utility
- Incremental Aggregation
Types of Lookup Caches
- Static Lookup Cache
- Dynamic Lookup Cache
- Persistent Lookup Cache
- Shared Lookup Cache
- Sorter and Rank Cache
Task Types
- Session
- Command
- Timer
- Event Wait
- Event Raise
- Decision
- Assignment
- Control
- Worklet
ETL Testing
- Unit Testing
- System Integration Testing
- Performance Testing
- ETL Performance Optimization Techniques
Training
Basic Level Training
Duration : 1 Month
Advanced Level Training
Duration : 1 Month
Project Level Training
Duration : 1 Month
Total Training Period
Duration : 3 Months
Course Mode :
Available Online / Offline
Course Fees :
Please contact the office for details