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Pentaho Data Integration 4 Cookbook

Pentaho Data Integration 4 Cookbook

4.8 (8)
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Pentaho Data Integration 4 Cookbook

Pentaho Data Integration 4 Cookbook

4.8 (8)

Overview of this book

Pentaho Data Integration (PDI, also called Kettle), one of the data integration tools leaders, is broadly used for all kind of data manipulation such as migrating data between applications or databases, exporting data from databases to flat files, data cleansing, and much more. Do you need quick solutions to the problems you face while using Kettle? Pentaho Data Integration 4 Cookbook explains Kettle features in detail through clear and practical recipes that you can quickly apply to your solutions. The recipes cover a broad range of topics including processing files, working with databases, understanding XML structures, integrating with Pentaho BI Suite, and more. Pentaho Data Integration 4 Cookbook shows you how to take advantage of all the aspects of Kettle through a set of practical recipes organized to find quick solutions to your needs. The initial chapters explain the details about working with databases, files, and XML structures. Then you will see different ways for searching data, executing and reusing jobs and transformations, and manipulating streams. Further, you will learn all the available options for integrating Kettle with other Pentaho tools. Pentaho Data Integration 4 Cookbook has plenty of recipes with easy step-by-step instructions to accomplish specific tasks. There are examples and code that are ready for adaptation to individual needs.
Table of Contents (17 chapters)
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Pentaho Data Integration 4 Cookbook
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

Creating a process flow


Suppose that you have a dataset with a list of entities such as people, addresses, products, or names of files, just to give some examples. You need to take that data and perform some further processing such as cleaning the data, discarding the useless rows, or calculating some extra fields. Finally, you have to insert the data into a database and build an Excel sheet containing statistics about the just processed. All of this can be seen as a simple task flow or a process flow. With Kettle, you can easily implement a process flow like this.

Suppose that you have a file with a list of names and dates of birth, for example:

name,birthdate
Paul,31/12/1969
Santiago,15/02/2004
Santiago,15/02/2004
Lourdes,05/08/1994
Isabella
Anna,08/10/1978
Zoe, 15/01/1975

The file may have some duplicates (identical consecutive rows) and some birthdates may be absent. You want to keep only the unique rows and discard the entries of people whose date of birth is missing. Finally, you want...

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