This Pentaho Fundamentals training is designed to help participants build end-to-end data integration and business intelligence solutions using the Pentaho platform. The course covers Pentaho architecture, Pentaho Data Integration (Kettle), ETL workflows, data transformation, reporting basics, dashboards, and deployment concepts. Participants will gain hands-on experience to design, build, and manage data pipelines and BI solutions for enterprise analytics.

• Understand the architecture, data integration capabilities, and analytics features of Pentaho for data processing and business  intelligence development.
• Set up and configure the Pentaho environment, repositories, data sources, and project components for analytics workflows.
• Design data pipelines, transformations, jobs, and reporting workflows using Pentaho development approaches.
• Implement data extraction, transformation, loading, reporting, and business analytics processes effectively.
• Debug, test, and optimize data workflows, transformations, and reporting performance for scalability and maintainability.
• Build scalable, automated, and production-ready data integration and business intelligence solutions using Pentaho best practices.

 • Data engineers and ETL developers
 • BI developers and reporting professionals
 • Data warehouse professionals
 • Analytics platform administrators
 • Professionals working with Pentaho for data integration and BI

 • Basic understanding of data and databases
 • Familiarity with SQL is helpful
 • Basic computer operation skills

 • Understanding Pentaho platform architecture
 • Building ETL workflows using Pentaho Data Integration
 • Designing data transformations and jobs
 • Connecting to multiple data sources
 • Creating basic reports and dashboards
 • Scheduling and automating data workflows
 • Managing data quality and validation
 • Deploying and maintaining Pentaho solutions

By the end of this training, participants will be able to design and implement end-to-end data integration and BI solutions using Pentaho with confidence. Learners will gain strong fundamentals in ETL, data transformation, reporting, and deployment, enabling them to support enterprise data engineering and analytics platforms.

Introduction to Pentaho & Platform Architecture
 • What is Pentaho and where it is used
 • Pentaho platform components
 • Pentaho Server and client tools
 • Overview of Pentaho Data Integration

Pentaho Data Integration (PDI) Basics
 • Introduction to Spoon interface
 • Creating first transformation
 • Understanding steps and hops
 • Previewing and validating data

Data Sources & Connectivity
 • Connecting to relational databases
 • Reading from flat files and Excel
 • Managing database connections
 • Handling credentials securely

Basic Transformations & Data Cleaning
 • Filtering and sorting data
 • Data type conversions
 • Handling null values
 • Basic data validation

Advanced Transformations & Lookups
 • Joins and merges
 • Stream lookups
 • Database lookups
 • Handling slowly changing dimensions basics

Jobs, Scheduling & Automation
 • Creating Pentaho jobs
 • Orchestrating transformations
 • Scheduling workflows
 • Error handling in jobs

Data Warehouse Concepts with Pentaho
 • ETL for data warehouses
 • Star and snowflake schemas
 • Loading fact and dimension tables
 • Incremental data loads

Pentaho Reporting Basics
 • Creating basic reports
 • Using Pentaho Report Designer
 • Formatting reports
 • Parameterized reports basics

Dashboards & BI Visualization
 • Pentaho dashboards overview
 • Creating interactive dashboards
 • Adding charts and visual components
 • Dashboard design best practices

Performance Optimization & Monitoring
 • Optimizing ETL performance
 • Managing large data volumes
 • Monitoring ETL jobs
 • Troubleshooting performance issues

Security, Users & Roles
 • Managing users and roles
 • Securing data access
 • Role-based access control
 • Governance best practices

Deployment & Production Best Practices
 • Deploying Pentaho solutions
 • Environment management
 • Backup and recovery
 • Production support concepts

Pentaho Project Workshop & Best Practices
 • Building an end-to-end Pentaho ETL and BI solution
 • Applying ETL and BI best practices
 • End-to-end data pipeline validation
 • Final project review and optimization

• Pentaho Setup & BI Platform Architecture
• Data Sources, Repositories & Project Configuration
• Transformations, Jobs & ETL Workflow Development
• Data Integration, Reporting & Analytics Processing
• Testing, Debugging & Performance Optimization
• End-to-End Pentaho Data Integration Development Project

Participants will be evaluated through hands-on Pentaho labs, practical ETL and reporting exercises, instructor-led reviews, and a final project-based assessment focused on building a complete Pentaho data integration and BI solution.

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Upon successful completion of the training, participants will receive an AcadNXT Certificate of Completion for Pentaho Fundamentals. This digital, verifiable certification validates practical Pentaho ETL, data integration, and BI platform skills and can be shared on LinkedIn and included in professional profiles to enhance data engineering and BI career credibility.