Book Image

Pentaho Analytics for MongoDB Cookbook

By : Joel Andre Latino, Harris Ward
Book Image

Pentaho Analytics for MongoDB Cookbook

By: Joel Andre 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.

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Pentaho Analytics for MongoDB Cookbook
Joel Andre Latino | Harris Ward
Dec, 2015 | 218 pages
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Table of Contents (10 chapters)
Preface
Preface
Pentaho Installation
What this book covers
What you need for this book
Who this book is for
Sections
Conventions
Reader feedback
Customer support
Free Chapter
1
1. PDI and MongoDB
1. PDI and MongoDB
Introduction
Learning basic operations with Pentaho Data Integration
Migrating data from the RDBMS to MongoDB
Loading data from MongoDB to MySQL
Migrating data from files to MongoDB
Exporting MongoDB data using the aggregation framework
MongoDB Map/Reduce using the User Defined Java Class step and MongoDB Java Driver
Working with jobs and filtering MongoDB data using parameters and variables
2
2. The Thin Kettle JDBC Driver
2. The Thin Kettle JDBC Driver
Introduction
Using a transformation as a data service
Running the Carte server in a single instance
Running the Pentaho Data Integration server in a single instance
Define a connection using a SQL Client (SQuirreL SQL)
3
3. Pentaho Instaview
3. Pentaho Instaview
Introduction
Creating an analysis view
Modifying Instaview transformations
Modifying the Instaview model
Exploring, saving, deleting, and opening analysis reports
4
4. A MongoDB OLAP Schema
4. A MongoDB OLAP Schema
Introduction
Creating a date dimension
Creating an Orders cube
Creating the customer and product dimensions
Saving and publishing a Mondrian schema
Creating a Mondrian 4 physical schema
Creating a Mondrian 4 cube
Publishing a Mondrian 4 schema
5
5. Pentaho Reporting
5. Pentaho Reporting
Introduction
Copying the MongoDB JDBC library
Connecting to MongoDB using Reporting Wizard
Connecting to MongoDB via PDI
Adding a chart to a report
Adding parameters to a report
Adding a formula to a report
Grouping data in reports
Creating subreports
Creating a report with MongoDB via Java
Publishing a report to the Pentaho server
Running a report in the Pentaho server
6
6. The Pentaho BI Server
6. The Pentaho BI Server
Introduction
Importing Foodmart MongoDB sample data
Creating a new analysis view using Pentaho Analyzer
Creating a dashboard using Pentaho Dashboard Designer
7
7. Pentaho Dashboards
7. Pentaho Dashboards
Introduction
Copying the MongoDB JDBC library
Importing a sample repository
Using a transformation data source
Using a BeanShell data source
Using Pentaho Analyzer for MongoDB data source
Using a Thin Kettle data source
Defining dashboard layouts
Creating a Dashboard Table component
Creating a Dashboard line chart component
8
8. Pentaho Community Contributions
8. Pentaho Community Contributions
Introduction
The PDI MongoDB Delete Step
The PDI MongoDB GridFS Output Step
The PDI MongoDB Map/Reduce Output step
The PDI MongoDB Lookup step
9
Index
Index

Grouping data in reports

In this recipe, we will take you through the steps required to display raw data into groups. This can be useful if we want to create group sum functions. In this recipe, we will order the data into groups of counties and cities. This will then allow us to add sums for each city or country group.

Getting ready

To get ready for this recipe, you will have to make sure your MongoDB instance is running.

How to do it…

We are going to use a PDI transformation to populate the report from a previous recipe. This transformation will give us a list of orders by country, city, and product line:

  1. In Report Designer, navigate to File | New.

  2. Click on the Data tab in the top-right corner of Report Designer.

  3. Right-click on the Data item in the list and select Pentaho Data Integration.

  4. To add a new data source, click the plus button in the top-left corner of the pop-up window.

  5. Set the Name property of the query to Orders.

  6. Click on the Browse button to open the Select transformation dialog...

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