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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

Reading data from an AWS S3 Instance


Amazon Web Services has helped to reshape server management by providing infinite flexibility with virtual machines that can be spun up or shut down almost as fast as a simple command. S3 is a scalable storage space that can be shared across virtual instances and is a common location for files to be processed. With this recipe, we will be reading information out of a file in an S3 instance.

Note

This recipe will require access to AWS, which does have a free tier for new users. If you have already used AWS in the past and do not have access to the free tier, the recipe will not deal with large transfers of data so the expense will be minimal.

Getting ready

You will need to have access to the files for this recipe, which are available on Packt's website. You will also need to create an S3 bucket to upload the files to.

  1. Go to http://aws.amazon.com and create an account or log in.

  2. Once logged in, you should now see the AWS Console. Click on S3 under the Storage...

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