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

Creating the customer and product dimensions

In this recipe, we will guide you through creating degenerate customer and product dimensions. A degenerate dimension consists of a dimension that doesn't have its own physical table, and the data lives in the fact table. In other words, the customer and product json are sub-documents within the Order documents of the Orders MongoDB collection.

Getting ready

Before you start this recipe, you need to make sure you have the MongoDB databases created in previous chapters. Also, the Data Integration server should be running, and you will need the schema that you created in the previous recipe.

How to do it…

Proceed with the following steps:

  1. Let's add the Customer dimension to the Orders cube:

    1. Right-click on the Orders cube and select Add Dimension.

    2. Expand the new dimension object, and in the default hierarchy created, remove the text for the name field. For the primaryKey field, select the customerNumber option.

    3. Right-click on the hierarchy and select Add...