Informatica Training: Master Data Integration for Modern Enterprises

Introduction to Informatica

1. What is Informatica?
2. History and Evolution of Informatica
3. Key Features and Capabilities
4. Use Cases of Informatica in Data Integration

Informatica Architecture

1. Informatica PowerCenter Architecture
2. Components of PowerCenter (Repository Service, Integration Service, Client Tools)
3. PowerCenter Repository Types (Repository Database, File-based Repository)
4. Workflow Execution Process in Informatica

Getting Started with Informatica PowerCenter

1. Installing and Configuring Informatica PowerCenter
2. Connecting to Informatica Repository
3. Overview of Informatica Client Tools (Designer, Workflow Manager, Workflow Monitor)
4. Creating a Simple Data Integration Workflow

Working with Informatica Designer

1. Introduction to Informatica Designer
2. Source Qualifier Transformation
3. Target Definition and Mapping
4. Expression Transformation
5. Aggregator Transformation

Advanced Transformations in Informatica

1. Joiner Transformation
2. Lookup Transformation
3. Rank Transformation
4. Router Transformation
5. Filter Transformation

Workflow Management in Informatica

1. Introduction to Informatica Workflow Manager
2. Creating Workflows and Sessions
3. Workflow Tasks and Connections
4. Task Properties and Configuration
5. Scheduling Workflows in Informatica

Monitoring and Troubleshooting in Informatica

1. Informatica Workflow Monitor
2. Monitoring Workflow Runs and Sessions
3. Viewing Session Logs and Statistics
4. Troubleshooting Common Issues in Informatica Workflows

Advanced Concepts in Informatica

1. Parameterization and Variables
2. Incremental Data Loading Strategies
3. Error Handling and Recovery
4. Performance Tuning Techniques

Working with Different Data Sources

1. Reading from Relational Databases (Oracle, SQL Server, MySQL)
2. Working with Flat Files (CSV, Excel)
3. Integration with Cloud Applications (Salesforce, Amazon S3)
4. Web Services Integration

Data Quality and Data Governance in Informatica

1. Introduction to Informatica Data Quality (IDQ)
2. Data Profiling and Cleansing
3. Data Standardization and Enrichment
4. Data Governance Framework with Informatica

Real-time Data Integration with Informatica

1. Real-time Data Replication
2. Change Data Capture (CDC) Techniques
3. Streaming Data Processing with Informatica
4. Working with Message Queues (Kafka, RabbitMQ)

Integration with Big Data Technologies

1. Informatica Big Data Edition Overview
2. Integration with Hadoop Ecosystem (HDFS, Hive, HBase)
3. Processing Big Data with Informatica
4. Real-time Streaming with Spark and Informatica

Cloud Data Integration with Informatica Cloud

1. Introduction to Informatica Cloud
2. Informatica Cloud Architecture
3. Cloud Data Integration Patterns
4. Connecting to Cloud Data Sources and Targets

Best Practices and Optimization in Informatica

1. Design Best Practices for Informatica Workflows
2. Optimization Techniques for Performance Improvement
3. Version Control and Deployment Strategies
4. Disaster Recovery Planning for Informatica Environments

Case Studies and Hands-on Projects

1. Building an ETL Pipeline with Informatica PowerCenter
2. Data Quality Assessment and Cleansing with Informatica Data Quality
3. Real-time Data Integration and Streaming Analytics
4. Cloud Data Integration Project with Informatica Cloud

Career Paths and Certification

1. Roles and Responsibilities in Informatica Projects
2. Informatica Certification Paths and Exams
3. Tips for Exam Preparation and Certification Success
4. Job Opportunities in Informatica and Data Integration Field

Advanced Data Transformations in Informatica

1. Rank Transformation
2. Update Strategy Transformation
3. SQL Transformation
4. Normalizer Transformation
5. XML Source and Target Transformation

Data Masking and Data Security in Informatica

1. Introduction to Data Masking
2. Data Masking Techniques (Static, Dynamic, Tokenization)
3. Informatica Data Masking Features and Capabilities
4. Data Security Best Practices in Informatica

Informatica MDM (Master Data Management)

1. Introduction to Master Data Management (MDM)
2. Informatica MDM Architecture
3. Key Components of Informatica MDM (Hub, Data Model, Services)
4. Data Governance and Data Stewardship in MDM

Informatica B2B Data Exchange

1. Overview of B2B Data Exchange
2. B2B Data Integration Patterns and Use Cases
3. Informatica B2B Data Exchange Architecture
4. Partner Onboarding and Management

Informatica Cloud Data Warehousing

1. Introduction to Cloud Data Warehousing
2. Informatica Integration with Cloud Data Warehouses (Snowflake, Redshift, BigQuery)
3. ELT vs. ETL in Cloud Data Warehousing
4. Building Data Pipelines in Informatica for Cloud Data Warehouses

Informatica for Big Data Governance

1. Big Data Governance Challenges
2. Informatica Big Data Governance Solution
3. Data Discovery and Classification
4. Metadata Management and Lineage Tracking

Real-time Data Governance with Informatica Axon

1. Introduction to Informatica Axon
2. Data Governance Workflow and Collaboration
3. Business Glossary and Data Catalog
4. Data Quality Monitoring and Issue Resolution

Data Integration Patterns and Best Practices

1. Batch vs. Real-time Data Integration
2. Change Data Capture (CDC) Strategies
3. Incremental Data Loading Techniques
4. Data Integration Best Practices and Patterns

Informatica Developer Collaboration and CI/CD

1. Informatica Developer Collaboration Features
2. Version Control Integration
3. Continuous Integration and Continuous Deployment (CI/CD) with Informatica
4. Automated Testing and Deployment Pipelines

Advanced Monitoring and Performance Tuning

1. Informatica Operational Insights
2. Performance Monitoring and Optimization Strategies
3. Capacity Planning and Scalability Considerations
4. Troubleshooting Performance Issues

Emerging Trends in Informatica and Data Integration

1. Data Mesh and Decentralized Data Architectures
2. Machine Learning and AI in Data Integration
3. DataOps and Data Engineering Automation
4. Edge Computing and IoT Data Integration