Pentaho Data Integration Certified Course

ESSENTIAL SKILLS YOU WILL DEVELOP – Pentaho Data Integration:

• Pentaho Data Integration (PDI) Architecture & Fundamentals
• ETL & Data Pipeline Development
• Transformations & Jobs
• Data Extraction from Multiple Sources
• Data Cleansing & Transformation
• Data Validation & Quality Management
• Database Integration & SQL
• File, API & Cloud Data Integration
• Data Migration & Synchronization
• Lookup, Join & Aggregation Operations
• Incremental & Batch Data Processing
• Error Handling & ETL Monitoring
• Workflow Scheduling & Automation
• ETL Performance Optimization
• Data Warehouse & BI Integration
• Production-Ready Data Pipeline Development

Tools Covered:

• Pentaho Data Integration (PDI / Kettle)
• Pentaho Spoon
• Pentaho Server
• Pentaho Report Designer
• Pentaho Data Mining (Weka)
• SQL
• MySQL
• PostgreSQL
• Oracle Database
• Microsoft SQL Server
• Snowflake
• AWS S3
• Azure Blob Storage
• Google Cloud Storage
• Apache Kafka
• REST APIs
• Git & GitHub
• Docker
• Apache Airflow
• Power BI / Tableau

Syllabus:

Module 1: Pentaho Data Integration Fundamentals

• PDI Architecture, Kettle & ETL Concepts
• Spoon Interface, Repositories & Project Structure
• Jobs vs. Transformations

Module 2: Data Extraction & Connectivity

• Database, File & API Data Sources
• JDBC Connections & SQL Integration
• Cloud Storage & Enterprise Data Sources

Module 3: Data Transformation

• Data Cleansing & Standardization
• Filtering, Sorting, Joining & Aggregation
• Lookup, Mapping & Calculated Fields

Module 4: PDI Transformations

• Transformation Steps & Data Flows
• Stream Lookup, Merge Join & Calculator
• Variables, Parameters & Dynamic Transformations

Module 5: ETL Jobs & Workflow Automation

• Job Entries & Workflow Design
• Job Scheduling & Dependency Management
• Error Handling & Conditional Workflows

Module 6: Data Quality & Validation

• Data Validation & Quality Checks
• Duplicate Detection & Data Standardization
• Error Logging & Exception Handling

Module 7: Data Warehouse & ETL Pipelines

• Dimension & Fact Table Loading
• Slowly Changing Dimensions (SCD)
• Incremental & Batch ETL Processing

Module 8: Advanced Integration & Automation

• REST API & Web Service Integration
• Kafka & Real-Time Data Integration
• Cloud-Based Data Pipeline Development

Module 9: Performance & Production Management

• ETL Performance Optimization
• Logging, Monitoring & Troubleshooting
• Deployment & Production Scheduling

Module 10: Enterprise PDI Project

• End-to-End ETL Pipeline Development
• Data Migration & Data Warehouse Implementation
• Real-World Pentaho Data Integration Project

Industry Projects:

• Enterprise ETL Pipeline Development with Pentaho PDI
• Data Warehouse ETL Implementation
• Customer Data Integration & Cleansing
• Financial Data Migration & Transformation
• Sales & Revenue Data Integration
• Real-Time Data Integration with Kafka
• REST API to Database ETL Pipeline
• Cloud Data Integration with AWS / Azure / GCP
• Automated Batch Data Processing & Scheduling
• End-to-End Enterprise Pentaho Data Integration Project

Who is this program for?

• Pentaho Data Integration Developers
• ETL Developers & Data Integration Engineers
• Data Engineers
• Data Warehouse Developers
• Business Intelligence Developers
• SQL & Database Professionals
• Data Migration Engineers
• Data Quality & Data Management Professionals
• BI & Analytics Consultants
• Cloud Data Engineers
• Database Administrators
• Data Pipeline Developers
• IT Professionals transitioning into Data Engineering
• Students and Freshers interested in ETL & Data Integration