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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 2. Getting Started with Transformations FREE CHAPTER 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

Understanding and changing the flow of execution

As said in the introduction, a Job must start with a START Job entry. All the entries that follow it are executed in a sequential way, following the direction given by the hops. Also, the execution of the destination Job entry does not begin until the Job entry that precedes it has finished.

Look at the following example:

Job with a simple flow

According to what we just said, we can deduce that:

  1. This Job creates a folder.
  2. After the folder is created, the Job copies some files (most probably to the new folder).
  3. When the files are copied, the jobs executes a Transformation. We can guess that this entry is for operating on the data in those copied files.
  4. Once the Transformation finishes, the Job sends an email.

This is the simplest flow that we can find in a Job. There are, however, several ways in which we can...

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