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

Saving and publishing a Mondrian schema

In this recipe, we guide you through saving the Mondrian schema created in the previous recipes in the filesystem and publishing it on the Pentaho BI server.

In previous recipes, we just created the Mondrian OLAP schema using Schema Workbench, a desktop tool. Since the Pentaho BI server doesn't know anything about the created schema, it is necessary to publish it. This means that you will be able to perform particular BI operations after publishing it on the BI server, such as self-service analysis using Pentaho Analyzer and/or Pentaho Dashboards.

After publishing the Mondrian schema on the Pentaho BI server, you can use some plugins available in the Pentaho marketplace, such as Ivy Schema Editor (IvySE), Community Text Editor (CTE), Pentaho Analysis Editor (PHASE), and so on.

Getting ready

Again, before you start this recipe, you need to make sure you have these things: the MongoDB databases created in previous chapters, the Data Integration and BI...