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

Modifying Instaview transformations

As was mentioned in the explanation of the last recipe, Pentaho Instaview automatically creates ETL transformations to define data flow from the source (MongoDB in this case) to the target. Instaview gives us the ability to edit those transformations with Pentaho data integration.

This recipe guides you through editing the transformation of MongoDB Orders data source, which was created in the last recipe, in order to get better and cleaner data from the MongoDB database.

Getting ready

To get ready for this recipe, you first need to start Instaview with the MongoDB Orders data source, and the MongoDB server with the same database as that of the last chapter.

How to do it…

As with any automated tool there is always something that needs to be tweaked. Perform the following steps to make a little change to the transformation that populates data into the analysis view:

  1. In Instaview home, click on the Open Existing button.

  2. Select MongoDB Orders from the Data Sources...