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Pentaho Data Integration Cookbook - Second Edition - Second Edition

You're reading from  Pentaho Data Integration Cookbook - Second Edition - Second Edition

Product type Book
Published in Dec 2013
Publisher Packt
ISBN-13 9781783280674
Pages 462 pages
Edition 2nd Edition
Languages

Table of Contents (21) Chapters

Pentaho Data Integration Cookbook Second Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Working with Databases 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

Introduction


With transformations, you manipulate data in many ways—doing mathematical or logical operations, applying string functions, grouping by one or more columns, sorting, and much more. Besides transforming the data you already have, you may need to search and bring data from other sources. Let us look at the following examples:

  • You have some product codes and you want to look for their descriptions in an Excel file

  • You have a value and want to get all products whose price is below that value from a database

  • You have some addresses and want to get the coordinates (latitude and longitude) for those locations from a web service

Searching for information in databases, text files, web services, and so on, is a very common task, and Kettle has several steps for doing it. In this chapter, you will learn about the different options.

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