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 Lookup step

As you know, it isn't possible to join different collections in MongoDB as it is in a typical relational database. Sometimes, this functionality is necessary and needs to be applied in other layers of your system. This is a gap in Pentaho Data Integration, and it was solved in a particular way by Ivy Information Systems in the same plugin that is mentioned in the previous recipe with the MongoDB Lookup step.

Getting ready

To get ready for this recipe, you will again need to start your ETL development environment Spoon. Make sure you have the MongoDB server running with the data from the previous chapters and the Ivy PDI MongoDB Steps plugin installed in the previous recipe.

How to do it…

Perform the following steps to use MongoDB Lookup:

  1. In Spoon, create a new transformation with the name mongodb-lookup.ktr.

  2. Select the Design tab in the left-hand-side view.

  3. From the Input category folder, find the Generate Rows step, and drag and drop it into the working area in the...