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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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Toc

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

Controlling the Flow of Data

In the previous chapters, you learned to transform your data in many ways. Now suppose you have to collect results from a survey. You receive several files with the data and those files have different formats. You have to merge those files somehow and generate a unified view of the information. Not only that, you want to remove the rows of data whose content is irrelevant. Finally, based on the rows that interest you, you want to create another file with some statistics. This kind of requirement is very common, but requires more background in Pentaho Data Integration (PDI). 

This chapter will give you the tools for implementing flows of data similar to the samples explained atop. In particular, we will cover the following topics:

  • Filtering data
  • Copying, distributing, and partitioning data
  • Splitting the stream based on conditions
  • Merging...
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