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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

Executing jobs in an iterative way

For a long time, PDI developers used to ask, can I run a Job inside a transformation? The answer was definitely a no. In order to solve the requirement, the solution was to create jobs and transformations nested in complex ways. Now you can avoid all that unnecessary work by looping jobs in an easier way. There is a Job Executor step—analogous to the Transformation Executor that you know—that can easily be configured to loop over the rows in a dataset.

Using Job executors

The Job Executor is a PDI step that allows you to execute a Job several times simulating a loop. The executor receives a dataset, and then executes the Job once for each row or a set of rows...

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