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 an Orders cube

This recipe guides you through creating an Orders cube and linking the shared Date dimension to the business fact dates, such as order date, required date, and shipped date. We will be creating the main measures, such as the total price, the quantity ordered, and the calculated measured average price.

Getting ready

Before you start this recipe, you need to make sure that you have the MongoDB database created, as done in the previous chapters. The Data Integration server should be running and you should have the schema you created in the previous recipe.

How to do it…

Proceed with the following steps:

  1. In the Schema, right-click on it and select the Add Cube option, or you can just click on the Add Cube icon in the tools menu of your subwindow.

  2. Select the new cube object and set the name field to Orders and the caption field to Orders, as you can see here:

  3. Select the Orders cube, right-click, and select Add Table. Next, select the table object, and for the name field, select...