Introduction

Informatica ETL (Extract, Transform, Load) is a powerful data integration tool widely used for managing, transforming, and loading data from multiple sources into target systems efficiently. This training provides a comprehensive understanding of ETL fundamentals, equipping participants with hands-on skills in data integration, transformation techniques, workflow automation, and performance optimization using Informatica PowerCenter.

Prerequisites

• Basic understanding of databases and SQL
• Familiarity with data warehousing concepts
• Exposure to any ETL tool (preferred but not mandatory)
• Basic programming knowledge (optional but helpful)

Table of Contents

1. Introduction to Informatica ETL Fundamentals

1.1 Overview of ETL and Data Integration
1.2 Understanding Informatica PowerCenter Architecture
1.3 Key Components and Features
1.4 ETL Process Lifecycle
1.5 Advantages of Using Informatica for ETL

2. Understanding Informatica PowerCenter Components

2.1 Informatica Designer
2.2 Workflow Manager
2.3 Workflow Monitor
2.4 Repository Manager

3. Working with Informatica Designer

3.1 Creating and Managing Source and Target Definitions
3.2 Designing Mappings and Transformations
3.3 Handling Different Data Types and Formats
3.4 Understanding Source Qualifier Transformations

4. Transformation Techniques in Informatica

4.1 Expression, Filter, and Aggregator Transformations
4.2 Joiner, Lookup, and Router Transformations
4.3 Rank, Sorter, and Sequence Generator
4.4 Normalizer and Denormalizer Transformations
4.5 SQL Override in Lookup and Source Qualifier

5. Workflow and Session Management

5.1 Creating and Configuring Workflows
5.2 Working with Sessions, Tasks, and Connections
5.3 Debugging and Troubleshooting Workflows
5.4 Workflow Variables and Parameterization

6. Data Extraction, Loading, and Scheduling

6.1 Extracting Data from Relational and Non-Relational Sources
6.2 Target Load Plan and Load Balancing
6.3 Scheduling and Automating ETL Jobs

7. Performance Optimization and Error Handling on ETL

7.1 Best Practices for ETL Development
7.2 Optimizing ETL Workflows for High Performance
7.3 Error Handling and Debugging Techniques
7.4 Partitioning and Pushdown Optimization

8. Advanced ETL Features

8.1 Parameterization and Variables in ETL Jobs(Ref: Data Warehousing and ETL Design for Data Engineers)
8.2 Real-time and Incremental Data Loading
8.3 Data Quality and Data Cleansing Techniques
8.4 Implementing Slowly Changing Dimensions (SCD)

9. Data Warehousing Concepts and Integration

9.1 Star Schema and Snowflake Schema
9.2 Fact and Dimension Tables
9.3 ETL Strategies for Data Warehousing

10. Informatica Administration and Deployment

10.1 Repository Management and Version Control
10.2 Migrating ETL Jobs Across Environments
10.3 Managing Security and Access Control
10.4 Monitoring and Managing Workflows in Production

11. Hands-on Projects and Case Studies

11.1 Implementing ETL for a Sales Data Warehouse
11.2 Real-time ETL Processing with Informatica
11.3 Data Migration and Integration for Enterprise Systems
11.4 Handling Complex Business Logic in ETL Workflows

Conclusion of Informatica ETL

This course provides a comprehensive understanding of Informatica ETL, from the basics of data integration to advanced workflow optimization techniques. By the end of the training, participants will be proficient in designing, developing, and deploying robust ETL solutions, enabling them to handle large-scale data processing and business intelligence needs efficiently.