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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

Identifying use cases to implement metadata injection

So far, we used injection to deal with dynamic sources. The opposite could have been dealing with dynamic targets. An example of this is generating files with a variable number of fields.

Metadata injection can also be used to reduce repetitive tasks. A typical example is the loading of text files into staging tables. Suppose that you have a text file that you want to load into a staging table. Besides the specific task of loading the table, you want to apply some validations—for example, checking for non-null values, storing audit information such as user and timestamp for the execution, counting the number of processed rows and log in a result table, among other tasks. 

Now suppose that you have to do this for a considerable quantity of different files. You could take this process as the base and...

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