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#0
Learn Pentaho - Pre-Requisites Skills & Environment Setup
Laying the foundation before touching Pentaho: the essential data integration and ETL skills you must master, the software and tools you need to install, minimum hardware requirements, plus the steps to set up your environment using JDK and Docker for a local lab.
August 3, 2026
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#1
Learn Pentaho - History, Background & Why Choose Pentaho
Tracing Pentaho's evolution from the Kettle project in 2004 to a full data integration and business analytics platform, then comparing it with Talend, Informatica, and Power BI to understand where Pentaho shines the most.
August 3, 2026
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#2
Learn Pentaho - Core Concepts & Pentaho Architecture
Breaking down the Pentaho architecture: PDI components such as Spoon, Pan, Kitchen, and Carte, the role of the Pentaho Server and repository, the data flow from input to dashboard, and the mapping between transformations and jobs in a pipeline.
August 3, 2026
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#3
Learn Pentaho - Installation & Getting to Know Spoon
A guide to installing Pentaho Data Integration on Windows, Linux, and macOS, then a deep introduction to Spoon: interface navigation, project and workspace structure, and how to create your first data source connection and metadata.
August 3, 2026
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#4
Learn Pentaho - Building a Basic Transformation
Your first hands-on practice assembling a transformation in Spoon: adding input, transformation, and output steps, using popular steps like Table input, Text file input, Filter rows, Join, and Split, understanding the row stream and field metadata, then running the transformation and checking the data preview.
August 3, 2026
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#5
Learn Pentaho - Jobs & Orchestration
Stepping up from a single transformation: designing a job to orchestrate many steps, using control steps like Start, Transformation, Shell, FTP, and Email, managing success and failure flows, and scheduling execution with Kitchen and cron.
August 3, 2026
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#6
Learn Pentaho - Data Quality & Transformation Patterns
Deepening data quality techniques in PDI: validation and cleansing, lookup and data normalization, string manipulation with regex, handling missing values, deduplication, aggregation, and transformation patterns that keep pipelines healthy in production.
August 3, 2026
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#7
Learn Pentaho - Error Handling & Debugging
Strategies for facing failures in PDI: handling errors and logging in transformations and jobs, using preview rows and breakpoints for debugging, analyzing step logs and performance metrics, and recovery best practices for failed transformations.
August 3, 2026
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#8
Learn Pentaho - Advanced Sources & Targets
Expanding PDI's connection reach: connecting databases, CSV, Excel, XML, JSON, and REST APIs; using Hadoop and cloud storage connectors; writing results to data warehouses and analytics stores; and leveraging lookup and caching for performance.
August 3, 2026
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#9
Learn Pentaho - Metadata, Repository, & Version Control
Managing PDI assets professionally: managing connection metadata and shared objects, comparing the Pentaho Repository with file-based storage, applying Git version control to PDI projects, and managing environments and variable substitution.
August 3, 2026
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