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Learning Pentaho Data Integration 8 CE

You're reading from   Learning Pentaho Data Integration 8 CE An end-to-end guide to exploring, transforming, and integrating your data across multiple sources

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Product type Paperback
Published in Dec 2017
Publisher Packt
ISBN-13 9781788292436
Length 500 pages
Edition 3rd Edition
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Author (1):
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María Carina Roldán María Carina Roldán
Author Profile Icon María Carina Roldán
María Carina Roldán
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Table of Contents (17) Chapters Close

Preface 1. Getting Started with Pentaho Data Integration FREE CHAPTER 2. Getting Started with Transformations 3. Creating Basic Task Flows 4. Reading and Writing Files 5. Manipulating PDI Data and Metadata 6. Controlling the Flow of Data 7. Cleansing, Validating, and Fixing Data 8. Manipulating Data by Coding 9. Transforming the Dataset 10. Performing Basic Operations with Databases 11. Loading Data Marts with PDI 12. Creating Portable and Reusable Transformations 13. Implementing Metadata Injection 14. Creating Advanced Jobs 15. Launching Transformations and Jobs from the Command Line 16. Best Practices for Designing and Deploying a PDI Project

Introducing jobs

In this section, we will introduce PDI jobs. First, we will give some basic definitions, and then we will design and run a very simple Job.

Learning the basics about jobs

A Job is an entity made of Job entries linked by hops. These entries and hops build paths, telling the engine the sequence of individual tasks to accomplish. Therefore, we say that a Job is task oriented.

Graphically, Job entries are represented with small boxes, whereas hops are represented with directional arrows, as depicted in the following sample:

 Sample Job

The unit of execution inside a Job is a Job entry. Job Entries are grouped into categories according to their purpose, which can be transferring files, creating folders...

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