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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

Running transformations from a Job

In the previous chapters, you were introduced to PDI transformations, the PDI artifacts meant to deal with data. Usually, you don't run a PDI Transformation isolated; you embed it in a bigger process. Here are some examples:

  • Download a file, clean it, load the information of the file in a database, and fill an audit file with the result of the operation
  • Generate a daily report and transfer the report to a shared repository
  • Update a data warehouse. If something goes wrong, notify the administrator by an email

All these examples are typical processes in which a Transformation is only a part. These types of processes can be implemented by PDI jobs. In particular, one of the tasks of those jobs will be executing one or more transformations. This execution can be done with a special Job entry, the transformation entry.

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