Last updated 7/2024MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 25m | Size: 1.51 GB
Master Pentaho Data Integration: Unlock ETL, Transform Data, Optimize Performance, and Master PDI Components in 2024
What you’ll learn
Go through the basics of data integration with PDI aka Kettle
Learn how to use SQL + JavaScript + PDI Kettle for ETL pipelines
Design Stage tables
Create simple validation of data
Learn about Fuzzy Matching step
Requirements
Basics of SQL, Java Script but I will explain everything as we go
Description
Course Title: Mastering Pentaho Data Integration (PDI) 9.4: From Installation to Best PracticesCourse Description:Welcome to “Mastering Pentaho Data Integration (PDI) 9.4: From Installation to Best Practices,” a comprehensive guide to effectively using the latest version of PDI. This course provides step-by-step instructions for installing PDI 9.4 and offers an in-depth exploration of its Graphical User Interface (GUI).You will learn to create robust transformations and jobs while adhering to industry best practices for production environments. Each section of the PDI GUI will be thoroughly explained to ensure you gain a complete understanding of the tool’s capabilities.What You Will Learn:Installation: A detailed, step-by-step guide to installing PDI 9.4, ensuring a smooth setup.PDI GUI Overview: An explanation of each section of the PDI GUI, enabling you to navigate and utilize the tool effectively.Creating Transformations and Jobs: Learn to create data transformations and jobs with a focus on best practices for production environments.Best Production Practices: Tips and techniques for optimizing your PDI workflows for reliability, efficiency, and maintainability.Who Should Take This Course:Data Integration DevelopersETL DevelopersData EngineersAnyone interested in mastering PDI for data integration tasksBy the end of this course, you will be equipped with the knowledge and skills to install and use Pentaho Data Integration 9.4 effectively, ensuring your data integration projects are executed with best production practices.
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