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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

Creating a date dimension


In this recipe, we guide you to start creating a Mondrian 3.x schema with the Schema Workbench, using the Thin Kettle JDBC Driver as the connection. We'll first create a shared dimension, date. A shared dimension can be referenced in different cubes. However, in this particular case, it is not necessary to have a shared dimension because we'll have just one cube.

Getting ready

Before you start this recipe, you need to make sure that the MongoDB server is running with the databases created in the previous chapters, and that the Data Integration server is running.

How to do it…

Proceed with the following steps:

  1. Open the Schema Workbench application. On Windows, you can find it in the Start menu. From there, go to Pentaho Enterprise Edition | Design Tools | Schema Workbench. On Linux, you need to run a command like this:

    sh <pentaho-installation-path>/design-tools/schema-workbench/workbench.sh
  2. With the Schema Workbench opened, let's configure the database connection...

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