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

Introducing dimensional modeling


So far you have dealt with the Jigsaw puzzles database, a database used for daily operational work. In the real-world, a database like this is maintained by an On-Line Transaction Processing (OLTP) system. The users of an OLTP system perform operational tasks—sell products, process orders, control stock, and so on.

As a counterpart, a datawarehouse is a nonoperational database; it is a specialized database designed for decision support purposes. Users of a datawarehouse analyze the data, and they do it from different points of view.

The most used technique for delivering data to datawarehouse users is dimensional modeling. This technique makes databases simple and understandable.

The primary table in a dimensional model is the fact table. A fact table stores numerical measurements of the business such as quantity of products sold, amount represented by the sold products, discounts, taxes, number of invoices, number of claims, and anything that can be measured...