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  • Book Overview & Buying Pentaho 3.2 Data Integration: Beginner's Guide
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Pentaho 3.2 Data Integration: Beginner's Guide

Pentaho 3.2 Data Integration: Beginner's Guide

4.9 (7)
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Pentaho 3.2 Data Integration: Beginner's Guide

Pentaho 3.2 Data Integration: Beginner's Guide

4.9 (7)

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)
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Pentaho 3.2 Data Integration Beginner's Guide
Credits
Foreword
The Kettle Project
About the Author
About the Reviewers
Preface
7
Index

Capturing errors


Suppose that you are running or previewing a transformation from Spoon. As you already know, if an error occurs it is shown in the Logging window inside the Execution Results pane. As a consequence, you can look at the error, try to fix it, and run the transformation again. This is far from what happens in real life. As said, transformations in real scenarios are supposed to be automated. Therefore, it is not acceptable to have a transformation that crashes without someone who notices it and reacts to that situation. On the contrary, it's your duty to do everything you can to trap errors that may happen, avoiding unexpected crashes when possible. In this section you will learn how to do that.

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Pentaho 3.2 Data Integration: Beginner's Guide
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