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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

Generating an RSS Feed


RSS feeds allow for a quick means of staying current on many different media types (blogs, news sites, alert notifications, and so on). By utilizing the data integration capabilities of Kettle, we can create our own customized RSS feeds that can then be consumed by any tool that can read the specialized RSS feed format, such as Feedly (http://www.feedly.com) or NewsBlur (http://www.newsblur.com).

Getting ready

You must have a database of books with the structure shown in Appendix A, Data Structures.

How to do it...

Perform the following steps:

  1. Create a new transformation.

  2. Under the Input section, bring over a Table Input step.

  3. Open the Table Input step and select the books database connection. For the SQL statement, add the following:

    SELECT
      id_title
    , title
    , price
    , genre
    , CONCAT(firstname, ' ', lastname) AS author_name
    , b.create_date AS publish_date
    FROM books b
    JOIN authors a ON b.id_author = a.id_author
  4. Click on OK and exit the Table Input step.

  5. From the Transformation...

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