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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

Discovering metadata and injecting it

Let's move to a use case a bit more elaborate than the previous one. We will continue working with sales data. In this case, we will work with an Excel file named sales_data.xls, which has a single sheet. There are several fields in this file, but we are only interested in the following: PRODUCTLINE, PRODUCTCODE, and QUANTITYORDERED. The problem is that the fields can be in any order in the Excel file. We will only know the order when we read the file.

In the same way as before, we need to create a template with missing data and then a Transformation that injects that data.

Let's start with the template. As we don't have the list of fields, we will fill the Fields grid with generic names—HEADER1, HEADER2, and so on. We have to select and keep only three fields. For this, we will use a Select Values step and leave...

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