Pentaho Data Integration

0 weeks

Live Course

Your Instructor

Sahil Goyal

Course Overview

This comprehensive Pentaho Data Integration (PDI) course is designed to equip participants with the skills and knowledge required to design, build, and manage ETL processes using the Pentaho platform. The course begins with an introduction to ETL concepts and the Pentaho environment, covering installation, setup, and connecting to Pentaho Server. Learners will explore the PDI interface and work hands-on with transformations, data input/output steps, flow control, and error handling.

Participants will gain practical experience extracting data from various sources including shared file systems, cloud storage, and APIs, and working with formats such as JSON and XML. The course covers essential data quality practices such as validation, cleaning, and deduplication. Advanced modules focus on REST API integration, parameterization, automation using scheduling tools, and execution of complex ETL workflows.

In addition, the course dives into performance tuning, metadata injection, and repository management, enabling learners to create scalable, maintainable, and secure data pipelines. Whether you're new to ETL or seeking to enhance your enterprise-level data integration skills, this course provides the foundation and advanced capabilities needed to confidently work with PDI in real-world scenarios.

What you'll get out of this course

Gain foundational knowledge of PDI and ETL by understanding the basics of ETL processes, installing Pentaho (client and server), and connecting to the Pentaho Server environment.

Develop hands-on skills in creating and managing transformations by learning to use input/output steps, control flow mechanisms, error handling, and transformation logic.

Learn advanced data integration techniques including data extraction from various sources (files, APIs, cloud), validation and cleaning methods, and strategies for efficient data loading and modeling.

Master automation, REST API integration, and parallel processing to enable scalable, reusable, and efficient workflows for real-time and batch ETL jobs.

Implement enterprise-level ETL solutions by leveraging advanced features like metadata injection, parameterization, job scheduling, repository management, and performance optimization.

Course content

Week 1

5 items

5 lectures

Your Instructor

Sahil Goyal

No additional information available about this instructor at the moment.

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