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

Using a transformation as a data service

This recipe guides you through the process of turning an existing Kettle transformation into a data service for the Thin Kettle JDBC Driver. A data service is a configuration that allows the user to query a transformation as if it were a table in a database.

Getting ready

To get ready for this recipe, you first need to start Spoon and the MongoDB server with the same database from the previous chapter.

How to do it…

We are assuming that you have MongoDB with the data generated in the previous chapters and Spoon open from the Pentaho EE version. Perform the following steps to create a data service:

  1. Open the chapter1-using-mongodb-aggregation-framework.ktr file and save it as chapter2-using-mongodb-aggregation-framework-kettle-thin.ktr. Change the transformation name to MongoDB Aggregation Kettle Thin.

  2. Define a Data Service for this new transformation.

    1. Open the Transformation settings dialog. There are two ways of doing this. One is to press Ctrl + T, right...