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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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Marƭa Carina RoldƔn Marƭa Carina RoldƔn
Author Profile Icon Marƭa Carina RoldƔn
Marƭa Carina RoldƔn
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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

Cleansing, Validating, and Fixing Data

You already have a set of tools to manipulate data. This chapter offers different ways of applying the learned concepts to cleanse data and also deal with invalid data, either by discarding it or fixing it.

We will cover the following topics in this chapter:

  • Standardizing information and improving the quality of data
  • Introducing some steps useful for data cleansing
  • Dealing with non-exact matches
  • Validating data
  • Treating invalid data by splitting and merging streams
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