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

Time for action – checking films file with the Data Validator


Let's validate not only the Genres field, but also the Year field.

  1. Open the last transformation and save it under a new name.

  2. Delete all steps except the Text file input and Text file output steps.

  3. In the Fields tab of the Text file input step, change the Type of the Year from Integer to String.

  4. From the Validation category add a Data Validator step. Also add a Select values step. Link all steps as follows:

  5. Double-click the Data Validator step.

  6. Check the Report all errors, not only the first option found on at the top of the window. This will enable the Output one row, concatenate errors with separator option. Check this option too, and fill the textbox to the right with a slash /. Click on New validation and type genres as the name of the validation rule.

  7. Click on OK.

  8. Click on genres. The right half of the window is filled with checkboxes and textboxes where you will define the rule.

  9. Fill the header of the rule definition as follows...