Book Image

Pentaho Analytics for MongoDB Cookbook

By : Joel Latino, Harris Ward, Joel André Latino, Harris Ward
Book Image

Pentaho Analytics for MongoDB Cookbook

By: Joel Latino, Harris Ward, Joel André Latino, Harris Ward

Overview of this book

MongoDB is an open source, schemaless NoSQL database system. Pentaho as a famous open source Analysis tool provides high performance, high availability, and easy scalability for large sets of data. The variant features in Pentaho for MongoDB are designed to empower organizations to be more agile and scalable and also enables applications to have better flexibility, faster performance, and lower costs. Whether you are brand new to online learning or a seasoned expert, this book will provide you with the skills you need to create turnkey analytic solutions that deliver insight and drive value for your organization. The book will begin by taking you through Pentaho Data Integration and how it works with MongoDB. You will then be taken through the Kettle Thin JDBC Driver for enabling a Java application to interact with a database. This will be followed by exploration of a MongoDB collection using Pentaho Instant view and creating reports with MongoDB as a datasource using Pentaho Report Designer. The book will then teach you how to explore and visualize your data in Pentaho BI Server using Pentaho Analyzer. You will then learn how to create advanced dashboards with your data. The book concludes by highlighting contributions of the Pentaho Community.
Table of Contents (15 chapters)
Pentaho Analytics for MongoDB Cookbook
About the Authors
About the Reviewers

The PDI MongoDB Map/Reduce Output step

Most aggregation operations in MongoDB are done by the Aggregation Framework, which provides better performance, but in some cases, it is necessary that it possesses flexibility that isn't present in it and is just possible with Map/Reduce commands.

Ivy Information Systems has contributed a plugin with two MongoDB steps—MongoDB Map/Reduce and MongoDB Lookup—under the AGPL license. These are available on GitHub at

Getting ready

To get ready for this recipe, you will need to start your ETL development environment Spoon, and make sure that you have the MongoDB server running with the data from the previous chapters.

How to do it…

Perform the following steps to create a quick sample for users with MongoDB Map/Reduce in PDI:

  1. Let's install the Ivy PDI MongoDB by performing the following steps:

    1. On the menu bar of Spoon, select Help and then Marketplace.

    2. A PDI Marketplace popup will show you the list of plugins available...