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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
Tools
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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

Introducing metadata injection

Throughout the book, we have been talking about PDI metadata, the data that describes the PDI datasets. Metadata includes field names and data types, among other attributes. Inside PDI, metadata not only refers to datasets, but also to other entities. For example, the definition of an input file—name, description, columns--is also considered as metadata.

You usually define the metadata in the configuration windows of the different steps. You do this manually while you are developing or modifying a Transformation in Spoon. This works perfectly when you know exactly how the data looks like—for example, when you are reading a file—or how you want it to be—for example, when you are creating new fields. There are situations where this is not the case, and you don't know the metadata until runtime. This is a kind of...

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