Pentaho Analytics for MongoDB Cookbook

Pentaho Analytics for MongoDB Cookbook

By : Joel André Latino, Harris Ward

Buy this Book

Pentaho Analytics for MongoDB Cookbook

By: Joel André Latino, Harris Ward

Buy this Book

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.

Pentaho Analytics for MongoDB Cookbook

Credits

About the Authors

About the Reviewers

www.PacktPub.com

Preface

Free Chapter

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

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)

Pentaho Instaview

Introduction

Creating an analysis view

Modifying Instaview transformations

Modifying the Instaview model

Exploring, saving, deleting, and opening analysis reports

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

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

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

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

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

Index

Customer Reviews

5 star

4 star

3 star

2 star

1 star

Creating a report with MongoDB via Java

There are times when we might need more control over our MongoDB data source. In cases like these, it's possible to execute a MongoDB query using BeanShell. This allows us to call up the MongoDB JDBC classes to execute the query manually.

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 add a new advanced data source:

In Report Designer, navigate to File | New.
Click on the Data tab in the top-right corner of Report Designer.
Right-click on the Datasets item in the list, select Advanced, and then Scriptable.
Select the beanshell language from the panel on the left-hand side.
Add a new value using the green plus icon.
Set the Name query to Orders.

Copy and paste the following script into the Query window:

import com.mongodb.*;
import org.pentaho.reporting.engine.classic.core.util.TypedTableModel;
Mongo mongo = new Mongo("localhost", 27017);
db = mongo.getDB("SteelWheels");
orders...

Pentaho Analytics for MongoDB Cookbook

By : Joel André Latino, Harris Ward

Pentaho Analytics for MongoDB Cookbook

By: Joel André Latino, Harris Ward

Overview of this book

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Current Title:

Pentaho Analytics for MongoDB Cookbook

Creating a report with MongoDB via Java

Getting ready

How to do it…