Book Image

Pentaho Analytics for MongoDB Cookbook

By : Joel André Latino, Harris Ward
Book Image

Pentaho Analytics for MongoDB Cookbook

By: 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
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

Introduction


In this chapter, you'll learn how to create OLAP (short for Online Analytical Processing) schemas for Pentaho with MongoDB as a data source. OLAP is an approach to creating multidimensional analyses. Pentaho uses the ROLAP (short for Relational Online Analytical Processing) engine, called by Mondrian to convert MDX (short for Multidimensional Expressions) queries into SQL queries.

If you aren't a business intelligence consultant, you probably have never heard about data warehouse and the preceding terms. Essentially, a data warehouse is a system for storing historical data from different data sources, so that you're prepared to use reporting systems, for example, Pentaho and Mondrian. This is a quick and simple explanation, but it is recommended that you carry out research about these terms, as this book is focused on using Pentaho and MongoDB, and not business intelligence technologies.

As Mondrian is responsible for generating SQL queries and MongoDB does not support it, it...