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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

Introduction


In this chapter, you'll learn how to create OLAP (short for Online Analytical Processing) schemas for Pentaho with MongoDB as a data source. OLAP is an approach to creating multidimensional analyses. Pentaho uses the ROLAP (short for Relational Online Analytical Processing) engine, called by Mondrian to convert MDX (short for Multidimensional Expressions) queries into SQL queries.

If you aren't a business intelligence consultant, you probably have never heard about data warehouse and the preceding terms. Essentially, a data warehouse is a system for storing historical data from different data sources, so that you're prepared to use reporting systems, for example, Pentaho and Mondrian. This is a quick and simple explanation, but it is recommended that you carry out research about these terms, as this book is focused on using Pentaho and MongoDB, and not business intelligence technologies.

As Mondrian is responsible for generating SQL queries and MongoDB does not support it, it...

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