Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Pentaho Data Integration Beginner's Guide - Second Edition

You're reading from   Pentaho Data Integration Beginner's Guide - Second Edition Get up and running with the Pentaho Data Integration tool using this hands-on, easy-to-read guide with this book and ebook

Arrow left icon
Product type Paperback
Published in Oct 2013
Publisher Packt
ISBN-13 9781782165040
Length 502 pages
Edition 2nd Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
María Carina Roldán María Carina Roldán
Author Profile Icon María Carina Roldán
María Carina Roldán
Arrow right icon
View More author details
Toc

Table of Contents (21) Chapters Close

Preface 1. Getting Started with Pentaho Data Integration FREE CHAPTER 2. Getting Started with Transformations 3. Manipulating Real-world Data 4. Filtering, Searching, and Performing Other Useful Operations with Data 5. Controlling the Flow of Data 6. Transforming Your Data by Coding 7. Transforming the Rowset 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 A. Working with Repositories B. Pan and Kitchen – Launching Transformations and Jobs from the Command Line C. Quick Reference – Steps and Job Entries D. Spoon Shortcuts E. Introducing PDI 5 Features F. Best Practices G. Pop Quiz Answers Index

Introducing the Steel Wheels sample database

As you were told in the first chapter, there is a Pentaho Demo that includes data for a fictional store named Steel Wheels and you can download it from the Internet. This data is stored in a database that is going be the starting point for you to learn how to work with databases in PDI. Before beginning to work on databases, let's briefly introduce the Steel Wheels database along with some database definitions.

Note

In this book, we will learn about relational databases. You should know that there are several database genres other than relational (big data, document, graph, and more). Not all databases are row/columnar like the relational ones.

A relational database is a collection of items stored in tables. Typically, all items stored in a table belong to a particular type of data. The following table lists some of the tables in the Steel Wheels database:

Table

Content

CUSTOMERS

Steel Wheels' customers

EMPLOYEES

Steel Wheels...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime