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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

Reading files with some fields occupying two or more rows


When you use one of the Kettle steps devoted for reading files, Kettle expects one entity per row. For example, if you are reading a file with a list of customers, then Kettle expects one customer per row. Suppose that you have a file organized by rows, where the fields are in different columns, but some of the fields span several rows, as in the following example containing data about roller coasters:

Roller Coaster      Speed     Location                   Year
Kingda Ka           128 mph   Six Flags Great Adventure
                              Jackson, New Jersey        2005
Top Thrill Dragster 120 mph   Cedar Point
                              Sandusky, Ohio             2003
Dodonpa             106.8 mph Fuji-Q Highland
                              FujiYoshida-shi            2001
                              Japan
Steel Dragon 2000   95 mph    Nagashima Spa Land
                              Mie                        2000...
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