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Pentaho Data Integration Beginner's Guide - Second Edition

You're reading from   Pentaho Data Integration Beginner's Guide - Second Edition Get up and running with the Pentaho Data Integration tool using this hands-on, easy-to-read guide with this book and ebook

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Product type Paperback
Published in Oct 2013
Publisher Packt
ISBN-13 9781782165040
Length 502 pages
Edition 2nd Edition
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Author (1):
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María Carina Roldán María Carina Roldán
Author Profile Icon María Carina Roldán
María Carina Roldán
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Table of Contents (21) Chapters Close

Preface 1. Getting Started with Pentaho Data Integration 2. Getting Started with Transformations FREE CHAPTER 3. Manipulating Real-world Data 4. Filtering, Searching, and Performing Other Useful Operations with Data 5. Controlling the Flow of Data 6. Transforming Your Data by Coding 7. Transforming the Rowset 8. Working with Databases 9. Performing Advanced Operations with Databases 10. Creating Basic Task Flows 11. Creating Advanced Transformations and Jobs 12. Developing and Implementing a Simple Datamart A. Working with Repositories B. Pan and Kitchen – Launching Transformations and Jobs from the Command Line C. Quick Reference – Steps and Job Entries D. Spoon Shortcuts E. Introducing PDI 5 Features F. Best Practices G. Pop Quiz Answers Index

Time for action – automating the loading of the sales datamart

Suppose that every day you want to update your sales datamart by adding the information about the sales for the day before. Let's do some modifications to the jobs and transformations you created, so that the job can be run automatically.

In order to test the changes, you will have to change the date for your system. Set the current date to 2009-10-02.

  1. Create a new transformation.
  2. Drag to the canvas a Get system info step and fill it as shown:
    Time for action – automating the loading of the sales datamart
  3. With a Select values step, change the metadata of both fields. As type, put String and as format, yyyy-MM-dd.
  4. Add a Set variables step and use the two fields to create two variables named START_DATE and END_DATE.
  5. Save the transformation in the same folder where you saved the transformation that loads the fact.
  6. Modify the job that loads the fact so that instead of executing the transformation that takes the range of dates from the command line, it executes this one. The job looks as...
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