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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
Languages
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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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Toc

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

Enhancing your processes with the use of variables

You already know a lot about Kettle variables. This time, you will learn how those variables can help you create more flexible and reusable work.

Running nested jobs

Before explaining the different ways in which variables can be used to enhance your processes, it's important to introduce the concept of nested jobs, which is closely related to the scope of variables.

In the same way that you can run a Transformation inside a Job, you can also run a Job from a Job, which allows you to nest the execution of jobs. In order to do this, you use the Job Job entry, located in the General category of job entries. A Job with nested jobs will look like this:

Nested jobs

Just...

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