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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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Toc

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

Books data structure


The Books database is a simple structure that holds details on a sample list of books and their authors. The recipes that use the Books database are based on you being part of a fictitious book store. In the following diagram, you can see the relationship between the authors' and books' tables, where a single author can have many books:

Books

The Books table stores the following details for each book:

Field

Description

Example

id_title

Identification for the book. It is a string with the format CCC-CCC (3 characters, a hyphen, and 3 more characters).

123-456

title

Title of the book.

The Tommyknockers

id_author

Identification for the author of a book; it references to the authors' data.

A00002

price

Price for the book. It's a decimal value.

39.00

genre

Genre of the books.

Fiction

Possible values are: Fiction, Non-fiction, Business or Children

Authors

The Authors table stores the following details for each author:

Field

Description

Example

id_author

Identification for the author

A00002

lastname

Author's last name

King

firstname

Author's first name

Stephen

nationality

Author's nationality

American

birthyear

Year of author's birth. It's a numeric value.

1947

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