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


Pentaho Data Integration and the Pentaho BI server include a Marketplace plugin, where the community (individual users/developers or companies) can submit plugins to everyone so that they can use it.

This chapter focuses on PDI plugins related to MongoDB developed by the Pentaho community. By default, Pentaho supports MongoDB, as was demonstrated in the first chapter. However, there is much more functionality from MongoDB that is a gap in Pentaho Enterprise. Pentaho Data Integration with a great pluggable architecture and a good open source ecosystem allows developers to contribute new steps and features. Because of this, some community members have already closed some gaps with some open source solutions available in the Marketplace. Without these features, you'll need to develop Java code at the User Defined Class step, or develop your own custom step to support the features.

This chapter focuses on PDI contributions. However, this doesn't mean that there doesn't exist good...