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Pentaho Data Integration Cookbook - Second Edition

You're reading from   Pentaho Data Integration Cookbook - Second Edition The premier open source ETL tool is at your command with this recipe-packed cookbook. Learn to use data sources in Kettle, avoid pitfalls, and dig out the advanced features of Pentaho Data Integration the easy way.

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Product type Paperback
Published in Dec 2013
Publisher Packt
ISBN-13 9781783280674
Length 462 pages
Edition 2nd Edition
Languages
Tools
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Table of Contents (21) Chapters Close

Pentaho Data Integration Cookbook Second Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Working with Databases FREE CHAPTER 2. Reading and Writing Files 3. Working with Big Data and Cloud Sources 4. Manipulating XML Structures 5. File Management 6. Looking for Data 7. Understanding and Optimizing Data Flows 8. Executing and Re-using Jobs and Transformations 9. Integrating Kettle and the Pentaho Suite 10. Getting the Most Out of Kettle 11. Utilizing Visualization Tools in Kettle 12. Data Analytics Data Structures References Index

Looking for values by proximity


This chapter is about looking for values in different sources based on given conditions. Those conditions are a comparison between fields in your stream and fields in the source that you are looking into. As you know, or could see in the rest of the recipes, you usually compare by equality and sometimes you do it by using different operators such as LIKE, NOT EQUAL, <, and so on. What if you need to look for a value that is more or less equal to a field in your stream? None of the options you saw in the other recipes will give you the solution to this problem. In these situations, you need to perform a fuzzy search, that is, a search that looks for similar values. Kettle allows you to perform such a search by providing you the Fuzzy match step. In this recipe, you will learn how to use this step.

Suppose that you receive an external text file with book orders and you need to find the prices for these books. The problem is that you don't have the identification...

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