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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

Merging rows of two streams with the same or different structures


It's a common requirement to combine two or more streams into a single stream that includes the union of all rows. In these cases, the streams come from different sources and don't always have the same structure. Consequently, combining the streams is not as easy as not just putting in a step that freely joins the streams. You have to take a couple of things into account. This recipe gives you the tips to make it easier.

Suppose that you received data about roller coasters from two different sources. The data in one of those sources looks like the following:

roller_coaster|speed|park|location|country|Year
Top Thrill Dragster|120 mph|Cedar Point|Sandusky, Ohio||2003
Dodonpa|106.8 mph|Fuji-Q Highland|FujiYoshida-shi|Japan|2001
Steel Dragon 2000|95 mph|Nagashima Spa Land|Mie|Japan|2000
Millennium Force|93 mph|Cedar Point|Sandusky, Ohio||2000
Intimidator 305|90 mph|Kings Dominion|Doswell, Virginia||2010
Titan|85 mph|Six Flags Over...

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