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Pentaho Analytics for MongoDB Cookbook

You're reading from   Pentaho Analytics for MongoDB Cookbook Over 50 recipes to learn how to use Pentaho Analytics and MongoDB to create powerful analysis and reporting solutions

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Product type Paperback
Published in Dec 2015
Publisher
ISBN-13 9781783553273
Length 218 pages
Edition 1st Edition
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Authors (2):
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Harris Ward Harris Ward
Author Profile Icon Harris Ward
Harris Ward
Joel Andre Latino Joel Andre Latino
Author Profile Icon Joel Andre Latino
Joel Andre Latino
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Table of Contents (10) Chapters Close

Preface 1. PDI and MongoDB FREE CHAPTER 2. The Thin Kettle JDBC Driver 3. Pentaho Instaview 4. A MongoDB OLAP Schema 5. Pentaho Reporting 6. The Pentaho BI Server 7. Pentaho Dashboards 8. Pentaho Community Contributions Index

Modifying Instaview transformations

As was mentioned in the explanation of the last recipe, Pentaho Instaview automatically creates ETL transformations to define data flow from the source (MongoDB in this case) to the target. Instaview gives us the ability to edit those transformations with Pentaho data integration.

This recipe guides you through editing the transformation of MongoDB Orders data source, which was created in the last recipe, in order to get better and cleaner data from the MongoDB database.

Getting ready

To get ready for this recipe, you first need to start Instaview with the MongoDB Orders data source, and the MongoDB server with the same database as that of the last chapter.

How to do it…

As with any automated tool there is always something that needs to be tweaked. Perform the following steps to make a little change to the transformation that populates data into the analysis view:

  1. In Instaview home, click on the Open Existing button.
  2. Select MongoDB Orders from the Data...
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