Book Image

Pentaho 3.2 Data Integration: Beginner's Guide

Book Image

Pentaho 3.2 Data Integration: Beginner's Guide

Overview of this book

Pentaho Data Integration (a.k.a. Kettle) is a full-featured open source ETL (Extract, Transform, and Load) solution. Although PDI is a feature-rich tool, effectively capturing, manipulating, cleansing, transferring, and loading data can get complicated.This book is full of practical examples that will help you to take advantage of Pentaho Data Integration's graphical, drag-and-drop design environment. You will quickly get started with Pentaho Data Integration by following the step-by-step guidance in this book. The useful tips in this book will encourage you to exploit powerful features of Pentaho Data Integration and perform ETL operations with ease.Starting with the installation of the PDI software, this book will teach you all the key PDI concepts. Each chapter introduces new features, allowing you to gradually get involved with the tool. First, you will learn to work with plain files, and to do all kinds of data manipulation. Then, the book gives you a primer on databases and teaches you how to work with databases inside PDI. Not only that, you'll be given an introduction to data warehouse concepts and you will learn to load data in a data warehouse. After that, you will learn to implement simple and complex processes.Once you've learned all the basics, you will build a simple datamart that will serve to reinforce all the concepts learned through the book.
Table of Contents (27 chapters)
Pentaho 3.2 Data Integration Beginner's Guide
Credits
Foreword
The Kettle Project
About the Author
About the Reviewers
Preface
Index

Extending the sales datamart model


You may, and you usually, have more than one fact table sharing some of the dimensions. Look at the following diagram:

It shows two stars sharing three dimensions: Regions, Manufacturers, and Time. The star model to the left is the sales star model you already know. The star model to the right doesn't have data for accessories, but does have more detail for puzzles such as the number of pieces they have or the category or theme they belong to. When you have more than one fact table sharing dimensions as here, you have what is called a constellation .

The following table summarizes the dimensions added to the datamart:

Dimension

Description

Pieces

Number of pieces of the puzzle, grouped in the following ranges: 0-25, 26-100, and so on

Theme

Classification of the puzzle in any of the following categories: Fantasy, Castles, Landscapes, and so on

Glows in the dark

Yes/No

3D puzzle

Yes/No

Wooden puzzle

Yes/No

Panoramic puzzle

Yes/No

Packaging

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