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Pentaho 3.2 Data Integration: Beginner's Guide

You're reading from  Pentaho 3.2 Data Integration: Beginner's Guide

Product type Book
Published in Apr 2010
Publisher Packt
ISBN-13 9781847199546
Pages 492 pages
Edition 1st Edition
Languages

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
1. Getting Started with Pentaho Data Integration 2. Getting Started with Transformations 3. Basic Data Manipulation 4. Controlling the Flow of Data 5. Transforming Your Data with JavaScript Code and the JavaScript Step 6. Transforming the Row Set 7. Validating Data and Handling Errors 8. Working with Databases 9. Performing Advanced Operations with Databases 10. Creating Basic Task Flows 11. Creating Advanced Transformations and Jobs 12. Developing and Implementing a Simple Datamart 13. Taking it Further Working with Repositories Pan and Kitchen: Launching Transformations and Jobs from the Command Line Quick Reference: Steps and Job Entries Spoon Shortcuts Introducing PDI 4 Features Pop Quiz Answers Index

Exploring the sales datamart


In Chapter 9, you were introduced to star schemas. In short, a star schema consists of a central table known as the fact table, surrounded by dimension tables. While the fact has indicators of your business such as sales in dollars, the dimensions have descriptive information for the attributes of your business such as time, customers, and products.

A star that addresses a specific department's needs or that is built for use by a particular group of users is called a datamart. You can have datamarts focused on customer relationship management, inventory, human resources management, budget, and more. In this chapter, you will load a datamart focused on sales.

Sometimes the term datamart is confused with datawarehouse. However, datamarts and datawarehouses are not the same.

Note

The main difference between datamarts and datawarehouses is that datawarehouses address the needs of the whole organization, whereas a datamarts addresses the needs of a particular department...

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