Pentaho Data Integration: Mastering ETL Processes for Effective Data Management

Overview

🕮 Off the shelf (OTS)

This course is designed for data analysts, ETL developers, and business intelligence professionals who want to gain practical, hands-on experience in building and managing ETL pipelines using Pentaho Data Integration. It is particularly relevant for those seeking to enhance their data integration and transformation skills across diverse data sources.

Some familiarity with data integration concepts and basic SQL knowledge is recommended. Prior experience with ETL tools is helpful but not essential.

The Pentaho Data Integration Training Course provides a comprehensive introduction to ETL development using Pentaho Data Integration (PDI). Participants will learn how to create scalable ETL pipelines to ingest and transform data from multiple sources and formats. The course covers key topics including input and output steps, field transformations, joins and lookups, set transformations, JSON and XML handling, variables and portability, logging and performance, metadata injection, orchestration with jobs, and iteration techniques. Practical exercises throughout the course reinforce these concepts with real-world examples.

Key Topics Covered:
• Input and output steps for reading and writing diverse data formats
• Field transformations including string manipulation, calculations, and JavaScript
• Joining and looking up data streams to enrich datasets
• Set transformations such as grouping, sorting, and data normalization
• Handling JSON and XML data inputs and parsing techniques
• Variables, parameters, and portable connections for flexible workflows

The course is delivered over three days and includes practical hands-on exercises and real-world case studies to support learning.